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PMC:7275133 JSONTXT

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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 93-95 Gene denotes of Gene:6688
8 497-499 Gene denotes of Gene:6688
9 320-322 Gene denotes of Gene:6688
10 177-179 Gene denotes of Gene:6688
11 225-232 Disease denotes fitness MESH:D012640
12 466-472 Disease denotes asthma MESH:D001249
13 504-512 Disease denotes COVID-19 MESH:C000657245
19 951-953 Gene denotes of Gene:6688
20 624-631 Species denotes patient Tax:9606
21 695-703 Species denotes patients Tax:9606
22 897-905 Species denotes patients Tax:9606
23 981-1003 Disease denotes asthma inhaler sensors MESH:D001249
30 1403-1405 Gene denotes of Gene:6688
31 1213-1215 Gene denotes of Gene:6688
32 1169-1177 Species denotes patients Tax:9606
33 1415-1425 Species denotes outpatient Tax:9606
34 1303-1310 Disease denotes fitness MESH:D012640
35 1376-1384 Disease denotes COVID-19 MESH:C000657245
58 3122-3126 Gene denotes COPD Gene:260431
59 3176-3178 Gene denotes of Gene:6688
60 3051-3053 Gene denotes of Gene:6688
61 2806-2808 Gene denotes of Gene:6688
62 2691-2693 Gene denotes of Gene:6688
63 2543-2545 Gene denotes of Gene:6688
64 2201-2203 Gene denotes of Gene:6688
65 2071-2073 Gene denotes of Gene:6688
66 1592-1594 Gene denotes of Gene:6688
67 1817-1825 Species denotes patients Tax:9606
68 1953-1961 Species denotes patients Tax:9606
69 2322-2330 Species denotes patients Tax:9606
70 2373-2381 Species denotes patients Tax:9606
71 2506-2514 Species denotes patients Tax:9606
72 2953-2961 Species denotes patients Tax:9606
73 3070-3078 Species denotes patients Tax:9606
74 1595-1603 Disease denotes COVID-19 MESH:C000657245
75 2078-2086 Disease denotes COVID-19 MESH:C000657245
76 3114-3120 Disease denotes asthma MESH:D001249
77 3128-3136 Disease denotes diabetes MESH:D003920
78 3142-3164 Disease denotes cardiovascular disease MESH:D002318
79 3227-3233 Disease denotes asthma MESH:D001249
84 3694-3696 Gene denotes of Gene:6688
85 3681-3683 Gene denotes of Gene:6688
86 3609-3617 Species denotes patients Tax:9606
87 4187-4194 Species denotes patient Tax:9606
102 5474-5476 Gene denotes of Gene:6688
103 4477-4479 Gene denotes of Gene:6688
104 4356-4358 Gene denotes of Gene:6688
105 4304-4306 Gene denotes of Gene:6688
106 4444-4450 Species denotes people Tax:9606
107 5180-5188 Species denotes patients Tax:9606
108 4240-4251 Disease denotes weight loss MESH:D015431
109 4507-4518 Disease denotes weight loss MESH:D015431
110 4624-4635 Disease denotes weight loss MESH:D015431
111 5045-5052 Disease denotes fitness MESH:D012640
112 5054-5065 Disease denotes weight loss MESH:D015431
113 5387-5394 Disease denotes fitness MESH:D012640
114 5558-5569 Disease denotes weight loss MESH:D015431
115 5590-5598 Disease denotes diabetic MESH:D003920
117 5662-5664 Gene denotes of Gene:6688
135 7048-7050 Gene denotes of Gene:6688
136 6474-6476 Gene denotes of Gene:6688
137 6162-6164 Gene denotes of Gene:6688
138 5921-5923 Gene denotes of Gene:6688
139 5773-5775 Gene denotes of Gene:6688
140 5714-5716 Gene denotes of Gene:6688
141 6865-6871 Species denotes people Tax:9606
142 7166-7171 Species denotes Apple Tax:3750
143 5881-5888 Disease denotes fitness MESH:D012640
144 5963-5970 Disease denotes fitness MESH:D012640
145 6072-6089 Disease denotes weight loss goals MESH:D015431
146 6324-6330 Disease denotes stress MESH:D000079225
147 6583-6590 Disease denotes fitness MESH:D012640
148 6595-6606 Disease denotes weight loss MESH:D015431
149 6661-6671 Disease denotes enthusiasm
150 6777-6805 Disease denotes fitness startups and fitness MESH:D012640
151 7135-7142 Disease denotes fitness MESH:D012640
160 7327-7335 Species denotes patients Tax:9606
161 7513-7518 Species denotes Apple Tax:3750
162 7712-7717 Species denotes Apple Tax:3750
163 7812-7817 Species denotes Apple Tax:3750
164 7818-7823 Species denotes Women Tax:9606
165 7844-7849 Species denotes Apple Tax:3750
166 7884-7889 Species denotes Apple Tax:3750
167 8083-8088 Species denotes Apple Tax:3750
205 13788-13792 Gene denotes Calm Gene:9892
206 14458-14460 Gene denotes of Gene:6688
207 14317-14319 Gene denotes of Gene:6688
208 13904-13906 Gene denotes of Gene:6688
209 13278-13280 Gene denotes of Gene:6688
210 12906-12908 Gene denotes of Gene:6688
211 12666-12668 Gene denotes of Gene:6688
212 12071-12073 Gene denotes of Gene:6688
213 11745-11747 Gene denotes of Gene:6688
214 10391-10393 Gene denotes of Gene:6688
215 10148-10150 Gene denotes of Gene:6688
216 9306-9308 Gene denotes of Gene:6688
217 9221-9223 Gene denotes of Gene:6688
218 14086-14090 Gene denotes Calm Gene:9892
219 13907-13911 Gene denotes Calm Gene:9892
220 9199-9205 Species denotes people Tax:9606
221 12145-12153 Species denotes Children Tax:9606
222 12183-12191 Species denotes Children Tax:9606
223 10464-10470 Chemical denotes Fitbit
224 9362-9369 Disease denotes fitness MESH:D012640
225 9465-9472 Disease denotes fitness MESH:D012640
226 10033-10052 Disease denotes Peloton Digital iOS MESH:C567857
227 10207-10216 Disease denotes Coach iOS MESH:C536430
228 10358-10374 Disease denotes fitness feedback MESH:D012640
229 10494-10502 Disease denotes Club iOS MESH:C567857
230 11081-11088 Disease denotes fitness MESH:D012640
231 11306-11316 Disease denotes Strava iOS MESH:C567857
232 11597-11608 Disease denotes Fitness iOS MESH:C567857
233 11715-11730 Disease denotes fitness journey MESH:D012640
234 11897-11904 Disease denotes fitness MESH:D012640
235 12247-12263 Disease denotes MyFitnessPal iOS MESH:C567857
236 12820-12831 Disease denotes weight loss MESH:D015431
237 13115-13122 Disease denotes fitness MESH:D012640
238 13555-13566 Disease denotes weight loss MESH:D015431
239 14294-14297 Disease denotes SOS MESH:D006504
240 14461-14469 Disease denotes COVID-19 MESH:C000657245
241 14764-14770 Disease denotes stress MESH:D000079225
243 8937-8944 Disease denotes fitness MESH:D012640
248 14981-14983 Gene denotes of Gene:6688
249 14878-14880 Gene denotes of Gene:6688
250 14854-14856 Gene denotes of Gene:6688
251 14881-14888 Disease denotes fitness MESH:D012640
259 8851-8853 Gene denotes of Gene:6688
260 8792-8794 Gene denotes of Gene:6688
261 8555-8562 Disease denotes fitness MESH:D012640
262 8682-8693 Disease denotes weight loss MESH:D015431
263 8698-8706 Disease denotes diabetes MESH:D003920
264 8816-8832 Disease denotes wellness coaches MESH:C536430
265 8867-8874 Disease denotes fitness MESH:D012640
276 16334-16336 Gene denotes of Gene:6688
277 15120-15128 Species denotes patients Tax:9606
278 15313-15320 Species denotes patient Tax:9606
279 15722-15729 Species denotes patient Tax:9606
280 15746-15753 Species denotes patient Tax:9606
281 15883-15891 Species denotes patients Tax:9606
282 16017-16025 Species denotes patients Tax:9606
283 16062-16069 Species denotes patient Tax:9606
284 16203-16210 Species denotes patient Tax:9606
285 15646-15663 Disease denotes fitness education MESH:D012640
327 18905-18907 Gene denotes of Gene:6688
328 18718-18720 Gene denotes of Gene:6688
329 18277-18279 Gene denotes of Gene:6688
330 18079-18081 Gene denotes of Gene:6688
331 17559-17561 Gene denotes of Gene:6688
332 17476-17478 Gene denotes of Gene:6688
333 16736-16738 Gene denotes of Gene:6688
334 16659-16661 Gene denotes of Gene:6688
335 16553-16555 Gene denotes of Gene:6688
336 16454-16456 Gene denotes of Gene:6688
337 16861-16866 Species denotes women Tax:9606
338 17274-17281 Species denotes patient Tax:9606
339 17687-17694 Species denotes Patient Tax:9606
340 18185-18193 Species denotes children Tax:9606
341 18668-18676 Species denotes children Tax:9606
342 18725-18732 Species denotes patient Tax:9606
343 19014-19021 Species denotes patient Tax:9606
344 16739-16745 Chemical denotes Fitbit
345 17921-17927 Chemical denotes Fitbit
346 16470-16477 Disease denotes fitness MESH:D012640
347 16582-16604 Disease denotes cardiovascular disease MESH:D002318
348 16606-16614 Disease denotes diabetes MESH:D003920
349 16620-16626 Disease denotes cancer MESH:D009369
350 16648-16654 Disease denotes asthma MESH:D001249
351 16687-16693 Disease denotes asthma MESH:D001249
352 16872-16878 Disease denotes asthma MESH:D001249
353 17308-17314 Disease denotes asthma MESH:D001249
354 17327-17333 Disease denotes asthma MESH:D001249
355 17418-17424 Disease denotes asthma MESH:D001249
356 17614-17620 Disease denotes asthma MESH:D001249
357 17753-17770 Disease denotes sleep disturbance MESH:D012893
358 17869-17875 Disease denotes asthma MESH:D001249
359 18003-18009 Disease denotes asthma MESH:D001249
360 18152-18158 Disease denotes asthma MESH:D001249
361 18280-18286 Disease denotes asthma MESH:D001249
362 18499-18505 Disease denotes asthma MESH:D001249
363 18553-18559 Disease denotes asthma MESH:D001249
364 18682-18688 Disease denotes asthma MESH:D001249
365 18735-18741 Disease denotes asthma MESH:D001249
366 18908-18914 Disease denotes asthma MESH:D001249
367 19024-19039 Disease denotes asthma symptoms MESH:D051271
380 19762-19764 Gene denotes of Gene:6688
381 19731-19733 Gene denotes of Gene:6688
382 19669-19671 Gene denotes of Gene:6688
383 19120-19122 Gene denotes of Gene:6688
384 19218-19223 Species denotes human Tax:9606
385 19509-19517 Species denotes children Tax:9606
386 19591-19599 Species denotes children Tax:9606
387 19165-19171 Disease denotes asthma MESH:D001249
388 19335-19341 Disease denotes asthma MESH:D001249
389 19351-19356 Disease denotes cough MESH:D003371
390 19523-19529 Disease denotes asthma MESH:D001249
391 19632-19638 Disease denotes asthma MESH:D001249
393 19891-19893 Gene denotes of Gene:6688
424 23873-23875 Gene denotes of Gene:6688
425 23862-23864 Gene denotes of Gene:6688
426 23854-23856 Gene denotes of Gene:6688
427 23703-23705 Gene denotes of Gene:6688
428 23501-23503 Gene denotes of Gene:6688
429 23223-23225 Gene denotes of Gene:6688
430 23191-23193 Gene denotes of Gene:6688
431 22814-22816 Gene denotes of Gene:6688
432 22567-22569 Gene denotes of Gene:6688
433 22421-22423 Gene denotes of Gene:6688
434 22249-22251 Gene denotes of Gene:6688
435 22195-22197 Gene denotes of Gene:6688
436 22033-22035 Gene denotes of Gene:6688
437 20989-20994 Species denotes Apple Tax:3750
438 21480-21485 Species denotes Apple Tax:3750
439 21751-21756 Species denotes Apple Tax:3750
440 21838-21845 Species denotes patient Tax:9606
441 21910-21917 Species denotes patient Tax:9606
442 22792-22799 Species denotes patient Tax:9606
443 23032-23040 Species denotes patients Tax:9606
444 23398-23406 Species denotes patients Tax:9606
445 20933-20939 Disease denotes asthma MESH:D001249
446 21437-21443 Disease denotes asthma MESH:D001249
447 21663-21678 Disease denotes asthma symptoms MESH:D051271
448 21702-21708 Disease denotes asthma MESH:D001249
449 22341-22356 Disease denotes asthma symptoms MESH:D051271
450 22611-22617 Disease denotes asthma MESH:D001249
451 23058-23064 Disease denotes asthma MESH:D001249
452 23568-23574 Disease denotes asthma MESH:D001249
453 23630-23636 Disease denotes asthma MESH:D001249
455 20894-20900 Disease denotes asthma MESH:D001249
467 20764-20766 Gene denotes of Gene:6688
468 20756-20758 Gene denotes of Gene:6688
469 20301-20303 Gene denotes of Gene:6688
470 20100-20102 Gene denotes of Gene:6688
471 20066-20073 Species denotes patient Tax:9606
472 20530-20537 Species denotes patient Tax:9606
473 19965-19969 Disease denotes EMDs
474 19974-19980 Disease denotes asthma MESH:D001249
475 20127-20131 Disease denotes EMDs
476 20238-20244 Disease denotes asthma MESH:D001249
477 20812-20818 Disease denotes asthma MESH:D001249
496 25173-25175 Gene denotes of Gene:6688
497 25101-25103 Gene denotes of Gene:6688
498 25046-25048 Gene denotes of Gene:6688
499 24997-24999 Gene denotes of Gene:6688
500 24938-24940 Gene denotes of Gene:6688
501 24579-24581 Gene denotes of Gene:6688
502 24542-24549 Species denotes patient Tax:9606
503 23992-24008 Chemical denotes Teva’s Digihaler
504 24054-24071 Chemical denotes albuterol sulfate MESH:D000420
505 24082-24088 Chemical denotes AirDuo
506 24091-24113 Chemical denotes fluticasone propionate MESH:D000068298
507 24118-24128 Chemical denotes salmeterol MESH:D000068299
508 24135-24143 Chemical denotes ArmonAir
509 24146-24168 Chemical denotes fluticasone propionate MESH:D000068298
510 24582-24592 Chemical denotes Digihalers
511 25000-25009 Chemical denotes albuterol MESH:D000420
512 24717-24723 Disease denotes asthma MESH:D001249
513 24811-24817 Disease denotes asthma MESH:D001249
533 26560-26562 Gene denotes of Gene:6688
534 26188-26190 Gene denotes of Gene:6688
535 26101-26103 Gene denotes of Gene:6688
536 25835-25837 Gene denotes of Gene:6688
537 25440-25442 Gene denotes of Gene:6688
538 25414-25416 Gene denotes of Gene:6688
539 25983-25995 Species denotes participants Tax:9606
540 26195-26203 Species denotes patients Tax:9606
541 26209-26217 Species denotes patients Tax:9606
542 26466-26474 Species denotes patients Tax:9606
543 26567-26579 Species denotes participants Tax:9606
544 26801-26808 Species denotes patient Tax:9606
545 26900-26908 Species denotes patients Tax:9606
546 25683-25698 Disease denotes asthma symptoms MESH:D051271
547 26018-26024 Disease denotes asthma MESH:D001249
548 26061-26076 Disease denotes asthma symptoms MESH:D051271
549 26493-26499 Disease denotes asthma MESH:D001249
550 26828-26834 Disease denotes asthma MESH:D001249
551 27121-27127 Disease denotes asthma MESH:D001249
566 28320-28322 Gene denotes of Gene:6688
567 28179-28181 Gene denotes of Gene:6688
568 28096-28098 Gene denotes of Gene:6688
569 27562-27564 Gene denotes of Gene:6688
570 27530-27532 Gene denotes of Gene:6688
571 27269-27271 Gene denotes of Gene:6688
572 27466-27473 Species denotes patient Tax:9606
573 27654-27661 Species denotes patient Tax:9606
574 28114-28122 Species denotes children Tax:9606
575 27335-27337 Disease denotes AV MESH:D054537
576 28128-28134 Disease denotes asthma MESH:D001249
577 28297-28303 Disease denotes asthma MESH:D001249
578 28394-28400 Disease denotes asthma MESH:D001249
579 28416-28422 Disease denotes asthma MESH:D001249
589 29319-29321 Gene denotes of Gene:6688
590 29243-29245 Gene denotes of Gene:6688
591 29132-29134 Gene denotes of Gene:6688
592 28990-28992 Gene denotes of Gene:6688
593 28553-28555 Gene denotes of Gene:6688
594 28997-29003 Species denotes people Tax:9606
595 29246-29258 Species denotes participants Tax:9606
596 29009-29046 Disease denotes chronic obstructive pulmonary disease MESH:D029424
597 29573-29579 Disease denotes asthma MESH:D001249
607 30055-30057 Gene denotes of Gene:6688
608 29625-29630 Species denotes Apple Tax:3750
609 29717-29725 Species denotes children Tax:9606
610 29983-29990 Species denotes patient Tax:9606
611 29698-29713 Disease denotes asthma symptoms MESH:D051271
612 29895-29901 Disease denotes asthma MESH:D001249
613 30064-30070 Disease denotes asthma MESH:D001249
614 30117-30123 Disease denotes asthma MESH:D001249
615 30182-30188 Disease denotes asthma MESH:D001249
617 30329-30331 Gene denotes of Gene:6688
627 30819-30821 Gene denotes of Gene:6688
628 30484-30486 Gene denotes of Gene:6688
629 30388-30390 Gene denotes of Gene:6688
630 30782-30787 Species denotes Apple Tax:3750
631 30884-30892 Species denotes patients Tax:9606
632 31181-31189 Species denotes patients Tax:9606
633 30487-30493 Disease denotes asthma MESH:D001249
634 30720-30726 Disease denotes asthma MESH:D001249
635 31195-31201 Disease denotes asthma MESH:D001249
652 32170-32172 Gene denotes of Gene:6688
653 31939-31941 Gene denotes of Gene:6688
654 31673-31675 Gene denotes of Gene:6688
655 31590-31592 Gene denotes of Gene:6688
656 31520-31522 Gene denotes of Gene:6688
657 31228-31230 Gene denotes of Gene:6688
658 31267-31273 Disease denotes asthma MESH:D001249
659 31405-31411 Disease denotes asthma MESH:D001249
660 31535-31541 Disease denotes asthma MESH:D001249
661 31559-31565 Disease denotes asthma MESH:D001249
662 31575-31581 Disease denotes asthma MESH:D001249
663 31697-31703 Disease denotes asthma MESH:D001249
664 31736-31742 Disease denotes asthma MESH:D001249
665 31797-31803 Disease denotes asthma MESH:D001249
666 32003-32009 Disease denotes asthma MESH:D001249
667 32096-32102 Disease denotes asthma MESH:D001249
682 34046-34048 Gene denotes of Gene:6688
683 32515-32517 Gene denotes of Gene:6688
684 32408-32410 Gene denotes of Gene:6688
685 32332-32334 Gene denotes of Gene:6688
686 32629-32634 Species denotes Apple Tax:3750
687 33702-33710 Species denotes patients Tax:9606
688 32335-32341 Disease denotes asthma MESH:D001249
689 32381-32387 Disease denotes asthma MESH:D001249
690 32526-32532 Disease denotes asthma MESH:D001249
691 33406-33414 Disease denotes myAsthma
692 33631-33639 Disease denotes myAsthma
693 33832-33838 Disease denotes asthma MESH:D001249
694 33969-33977 Disease denotes myAsthma
695 33999-34005 Disease denotes asthma MESH:D001249
710 34679-34681 Gene denotes of Gene:6688
711 34570-34572 Gene denotes of Gene:6688
712 34483-34485 Gene denotes of Gene:6688
713 34472-34474 Gene denotes of Gene:6688
714 34464-34466 Gene denotes of Gene:6688
715 34209-34211 Gene denotes of Gene:6688
716 34169-34171 Gene denotes of Gene:6688
717 34387-34395 Species denotes patients Tax:9606
718 34509-34517 Species denotes patients Tax:9606
719 34952-34960 Species denotes patients Tax:9606
720 34188-34194 Disease denotes asthma MESH:D001249
721 34235-34241 Disease denotes asthma MESH:D001249
722 34830-34836 Disease denotes asthma MESH:D001249
723 34945-34951 Disease denotes asthma MESH:D001249
725 34986-34988 Gene denotes of Gene:6688
749 36876-36878 Gene denotes of Gene:6688
750 36560-36562 Gene denotes of Gene:6688
751 36480-36482 Gene denotes of Gene:6688
752 36023-36025 Gene denotes of Gene:6688
753 35990-35992 Gene denotes of Gene:6688
754 35718-35720 Gene denotes of Gene:6688
755 35575-35577 Gene denotes of Gene:6688
756 35482-35484 Gene denotes of Gene:6688
757 35406-35408 Gene denotes of Gene:6688
758 35335-35337 Gene denotes of Gene:6688
759 35218-35220 Gene denotes of Gene:6688
760 35097-35099 Gene denotes of Gene:6688
761 35076-35078 Gene denotes of Gene:6688
762 35184-35192 Species denotes patients Tax:9606
763 35945-35953 Species denotes patients Tax:9606
764 36097-36105 Species denotes patients Tax:9606
765 36330-36337 Species denotes patient Tax:9606
766 36512-36520 Species denotes patients Tax:9606
767 36685-36693 Species denotes patients Tax:9606
768 35639-35645 Chemical denotes oxygen MESH:D010100
769 36416-36422 Disease denotes asthma MESH:D001249
770 36440-36456 Disease denotes chronic diseases MESH:D002908
771 36779-36786 Disease denotes fitness MESH:D012640
773 36976-36978 Gene denotes of Gene:6688
775 37214-37216 Gene denotes of Gene:6688
778 37634-37636 Gene denotes of Gene:6688
779 37574-37576 Gene denotes of Gene:6688
781 37727-37732 Species denotes Human Tax:9606
784 37861-37863 Gene denotes of Gene:6688
785 37819-37824 Species denotes human Tax:9606

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 6137-6140 Body_part denotes arm http://purl.org/sig/ont/fma/fma24890
T2 6276-6281 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T3 6288-6292 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T4 7850-7855 Body_part denotes Heart http://purl.org/sig/ont/fma/fma7088
T5 11590-11593 Body_part denotes Map http://purl.org/sig/ont/fma/fma67847
T6 12614-12618 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T7 14789-14793 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T8 19224-19228 Body_part denotes skin http://purl.org/sig/ont/fma/fma7163
T9 19369-19374 Body_part denotes chest http://purl.org/sig/ont/fma/fma9576
T10 19734-19738 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T11 21010-21015 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T12 21181-21186 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T13 21645-21649 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T14 23662-23666 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T15 26432-26435 Body_part denotes arm http://purl.org/sig/ont/fma/fma24890
T16 32128-32132 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T17 35578-35582 Body_part denotes body http://purl.org/sig/ont/fma/fma256135
T18 35603-35608 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T19 35615-35619 Body_part denotes skin http://purl.org/sig/ont/fma/fma7163
T20 35633-35638 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 4323-4328 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 6137-6140 Body_part denotes arm http://purl.obolibrary.org/obo/UBERON_0001460
T3 6276-6281 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T4 7850-7855 Body_part denotes Heart http://purl.obolibrary.org/obo/UBERON_0000948
T5 9757-9761 Body_part denotes feet http://purl.obolibrary.org/obo/UBERON_0002387
T6 19224-19228 Body_part denotes skin http://purl.obolibrary.org/obo/UBERON_0000014
T7 19369-19374 Body_part denotes chest http://purl.obolibrary.org/obo/UBERON_0001443
T8 19734-19738 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T9 21010-21015 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T10 21181-21186 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T11 21645-21649 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T12 23662-23666 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T13 26432-26435 Body_part denotes arm http://purl.obolibrary.org/obo/UBERON_0001460
T14 32128-32132 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T15 32991-32996 Body_part denotes Scale http://purl.obolibrary.org/obo/UBERON_0002542
T16 35603-35608 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T17 35615-35619 Body_part denotes skin http://purl.obolibrary.org/obo/UBERON_0000014
T18 35633-35638 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 466-472 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T2 504-512 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 981-987 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T4 1376-1384 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 1595-1603 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 1786-1789 Disease denotes flu http://purl.obolibrary.org/obo/MONDO_0005812
T7 2078-2086 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 2278-2281 Disease denotes CMS http://purl.obolibrary.org/obo/MONDO_0018940
T9 3114-3120 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T10 3122-3126 Disease denotes COPD http://purl.obolibrary.org/obo/MONDO_0005002
T11 3128-3136 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T12 3142-3164 Disease denotes cardiovascular disease http://purl.obolibrary.org/obo/MONDO_0004995
T13 3227-3233 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T14 8698-8706 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T15 11492-11495 Disease denotes GPS http://purl.obolibrary.org/obo/MONDO_0007686
T16 11663-11666 Disease denotes MVP http://purl.obolibrary.org/obo/MONDO_0008004
T17 14294-14297 Disease denotes SOS http://purl.obolibrary.org/obo/MONDO_0011604
T18 14461-14469 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 16442-16448 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T20 16582-16604 Disease denotes cardiovascular disease http://purl.obolibrary.org/obo/MONDO_0004995
T21 16606-16614 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T22 16620-16626 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T23 16648-16654 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T24 16687-16693 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T25 16872-16878 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T26 17308-17314 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T27 17327-17333 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T28 17418-17424 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T29 17614-17620 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T30 17753-17770 Disease denotes sleep disturbance http://purl.obolibrary.org/obo/MONDO_0003406
T31 17859-17875 Disease denotes pediatric asthma http://purl.obolibrary.org/obo/MONDO_0005405
T32 17869-17875 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T33 17993-18009 Disease denotes pediatric asthma http://purl.obolibrary.org/obo/MONDO_0005405
T34 18003-18009 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T35 18152-18158 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T36 18280-18286 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T37 18499-18505 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T38 18553-18559 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T39 18682-18688 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T40 18735-18741 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T41 18792-18798 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T42 18908-18914 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T43 19024-19030 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T44 19165-19171 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T45 19335-19341 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T46 19523-19529 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T47 19632-19638 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T48 19927-19933 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T49 19974-19980 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T50 20238-20244 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T51 20694-20697 Disease denotes GPS http://purl.obolibrary.org/obo/MONDO_0007686
T52 20812-20818 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T53 20894-20900 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T54 20933-20939 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T55 21427-21443 Disease denotes pediatric asthma http://purl.obolibrary.org/obo/MONDO_0005405
T56 21437-21443 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T57 21663-21669 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T58 21702-21708 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T59 22212-22218 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T60 22276-22279 Disease denotes GPS http://purl.obolibrary.org/obo/MONDO_0007686
T61 22341-22347 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T62 22611-22617 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T63 23058-23064 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T64 23507-23513 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T65 23568-23574 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T66 23630-23636 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T67 24717-24723 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T68 24811-24817 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T69 25343-25349 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T70 25514-25520 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T71 25580-25583 Disease denotes GPS http://purl.obolibrary.org/obo/MONDO_0007686
T72 25633-25639 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T73 25683-25689 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T74 26018-26024 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T75 26061-26067 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T76 26493-26499 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T77 26828-26834 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T78 27121-27127 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T79 28128-28134 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T80 28297-28303 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T81 28394-28400 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T82 28416-28422 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T83 29009-29046 Disease denotes chronic obstructive pulmonary disease http://purl.obolibrary.org/obo/MONDO_0005002
T84 29029-29046 Disease denotes pulmonary disease http://purl.obolibrary.org/obo/MONDO_0005275
T85 29573-29579 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T86 29698-29704 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T87 29895-29901 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T88 30064-30070 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T89 30117-30123 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T90 30182-30188 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T91 30347-30353 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T92 30487-30493 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T93 30720-30726 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T94 31195-31201 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T95 31267-31273 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T96 31405-31411 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T97 31535-31541 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T98 31559-31565 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T99 31575-31581 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T100 31697-31703 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T101 31736-31742 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T102 31797-31803 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T103 32003-32009 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T104 32096-32102 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T105 32335-32341 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T106 32381-32387 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T107 32526-32532 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T108 33600-33606 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T109 33663-33669 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979
T110 33832-33838 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T111 33999-34005 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T112 34188-34194 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T113 34235-34241 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T114 34830-34836 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T115 34945-34951 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T116 36416-36422 Disease denotes asthma http://purl.obolibrary.org/obo/MONDO_0004979
T117 37585-37591 Disease denotes Asthma http://purl.obolibrary.org/obo/MONDO_0004979

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 213-220 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T2 272-275 http://purl.obolibrary.org/obo/PR_000002979 denotes tap
T3 303-304 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 372-375 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T5 596-608 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digitization
T6 707-708 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 872-873 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 972-979 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T9 1205-1206 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1471-1472 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 1556-1559 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T12 1714-1715 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 2153-2154 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2168-2175 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T15 2192-2193 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 2589-2596 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T17 2866-2873 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T18 2933-2944 http://purl.obolibrary.org/obo/BFO_0000030 denotes objectively
T19 2977-2984 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T20 3170-3175 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T21 3215-3222 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T22 3295-3302 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T23 3330-3331 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 3523-3524 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 3684-3685 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T26 3751-3752 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T27 3818-3819 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 3844-3851 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T29 4110-4115 http://purl.obolibrary.org/obo/CLO_0008416 denotes peers
T30 4110-4115 http://purl.obolibrary.org/obo/CLO_0050081 denotes peers
T31 4452-4453 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T32 4765-4770 http://purl.obolibrary.org/obo/CLO_0001236 denotes 2]. A
T33 5128-5136 http://purl.obolibrary.org/obo/CLO_0001658 denotes actively
T34 5146-5147 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T35 5205-5212 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T36 5641-5643 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T37 5674-5681 http://purl.obolibrary.org/obo/OBI_0000968 denotes Devices
T38 5683-5691 http://purl.obolibrary.org/obo/CLO_0001658 denotes Activity
T39 5826-5827 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 5853-5854 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T41 6129-6136 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T42 6137-6140 http://www.ebi.ac.uk/efo/EFO_0001410 denotes arm
T43 6171-6179 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T44 6276-6281 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T45 6276-6281 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T46 6276-6281 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T47 6276-6281 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T48 6293-6296 http://purl.obolibrary.org/obo/UBERON_0001013 denotes fat
T49 6712-6715 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T50 6831-6839 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T51 7071-7078 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T52 7079-7082 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T53 7124-7125 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T54 7228-7229 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 7231-7233 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T56 7270-7277 http://purl.obolibrary.org/obo/OBI_0000968 denotes Devices
T57 7349-7356 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T58 7450-7451 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 7572-7580 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T60 7850-7855 http://purl.obolibrary.org/obo/UBERON_0000948 denotes Heart
T61 7850-7855 http://purl.obolibrary.org/obo/UBERON_0007100 denotes Heart
T62 7850-7855 http://purl.obolibrary.org/obo/UBERON_0015228 denotes Heart
T63 7850-7855 http://www.ebi.ac.uk/efo/EFO_0000815 denotes Heart
T64 8000-8012 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T65 8109-8110 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T66 8232-8239 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T67 8413-8420 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T68 8611-8612 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 8736-8737 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 8834-8835 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T71 8979-8986 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T72 9215-9216 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T73 9478-9481 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T74 9802-9805 http://purl.obolibrary.org/obo/CLO_0051582 denotes Has
T75 9823-9832 http://purl.obolibrary.org/obo/OBI_0000245 denotes organized
T76 9933-9935 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T77 10041-10048 http://www.ebi.ac.uk/efo/EFO_0000881 denotes Digital
T78 10162-10166 http://purl.obolibrary.org/obo/CLO_0053428 denotes camp
T79 10304-10312 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T80 10567-10570 http://purl.obolibrary.org/obo/CLO_0051582 denotes Has
T81 10637-10639 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T82 10662-10663 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T83 10951-10954 http://purl.obolibrary.org/obo/CLO_0001755 denotes ask
T84 11079-11080 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T85 11573-11574 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T86 11594-11596 http://purl.obolibrary.org/obo/CLO_0050475 denotes My
T87 11713-11714 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T88 11732-11735 http://purl.obolibrary.org/obo/CLO_0051582 denotes Has
T89 11748-11758 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T90 11841-11842 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T91 11848-11854 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T92 12061-12062 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T93 12084-12097 http://purl.obolibrary.org/obo/OBI_0000245 denotes organizations
T94 12126-12134 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes Humanity
T95 12136-12138 http://purl.obolibrary.org/obo/CLO_0009141 denotes St
T96 12136-12138 http://purl.obolibrary.org/obo/CLO_0050980 denotes St
T97 12499-12509 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T98 12574-12577 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T99 12641-12644 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T100 12872-12873 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T101 13255-13256 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T102 13362-13369 http://www.ebi.ac.uk/efo/EFO_0000881 denotes Digital
T103 13492-13499 http://purl.obolibrary.org/obo/CLO_0009985 denotes focuses
T104 13624-13625 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T105 13754-13757 http://purl.obolibrary.org/obo/UBERON_0001013 denotes fat
T106 13894-13898 http://purl.obolibrary.org/obo/CLO_0001608 denotes a “7
T107 14077-14078 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T108 14553-14554 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T109 14805-14810 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T110 15067-15074 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T111 15694-15700 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T112 15744-15745 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T113 15809-15816 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T114 15937-15938 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T115 16042-16043 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T116 16179-16180 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T117 16268-16275 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T118 16431-16438 http://purl.obolibrary.org/obo/OBI_0000968 denotes Devices
T119 16478-16484 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T120 16502-16505 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T121 16506-16513 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T122 16565-16573 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T123 16637-16644 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T124 16880-16882 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T125 16967-16968 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T126 16994-17000 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T127 17048-17054 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T128 17218-17225 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T129 17346-17348 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T130 17526-17534 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T131 17584-17592 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T132 17808-17809 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T133 17945-17953 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T134 18114-18120 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T135 18306-18314 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T136 18456-18457 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T137 18607-18609 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T138 18648-18657 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digitally
T139 18701-18702 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T140 18807-18811 http://purl.obolibrary.org/obo/UBERON_0000473 denotes Test
T141 19012-19013 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T142 19132-19139 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T143 19145-19148 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T144 19218-19223 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T145 19224-19228 http://purl.obolibrary.org/obo/UBERON_0000014 denotes skin
T146 19224-19228 http://purl.obolibrary.org/obo/UBERON_0001003 denotes skin
T147 19224-19228 http://purl.obolibrary.org/obo/UBERON_0002097 denotes skin
T148 19224-19228 http://purl.obolibrary.org/obo/UBERON_0002199 denotes skin
T149 19224-19228 http://www.ebi.ac.uk/efo/EFO_0000962 denotes skin
T150 19369-19374 http://www.ebi.ac.uk/efo/EFO_0000965 denotes chest
T151 19384-19391 http://purl.obolibrary.org/obo/SO_0000418 denotes signals
T152 19446-19452 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T153 19734-19738 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T154 19734-19738 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T155 19818-19819 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T156 19831-19836 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T157 19916-19923 http://purl.obolibrary.org/obo/OBI_0000968 denotes Devices
T158 19956-19963 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T159 20029-20038 http://purl.obolibrary.org/obo/BFO_0000030 denotes objective
T160 20132-20137 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T161 20179-20180 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T162 20193-20201 http://purl.obolibrary.org/obo/CLO_0009985 denotes focusing
T163 20259-20266 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T164 20291-20292 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T165 20442-20449 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T166 20746-20747 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T167 21010-21015 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T168 21010-21015 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T169 21010-21015 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T170 21010-21015 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T171 21081-21089 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T172 21181-21186 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T173 21181-21186 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T174 21181-21186 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T175 21181-21186 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T176 21218-21226 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T177 21370-21372 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T178 21645-21649 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T179 21645-21649 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T180 21682-21691 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digitally
T181 21948-21955 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T182 21981-21988 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T183 22554-22560 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T184 22817-22823 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T185 22828-22835 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T186 23087-23088 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T187 23089-23096 http://www.ebi.ac.uk/efo/EFO_0000881 denotes digital
T188 23198-23205 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T189 23226-23233 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T190 23662-23666 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T191 23662-23666 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T192 24010-24013 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T193 24420-24422 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T194 24429-24435 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T195 24478-24479 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T196 24593-24596 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T197 24633-24636 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T198 25037-25038 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T199 25234-25237 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T200 25248-25249 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T201 25272-25273 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T202 25540-25541 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T203 25549-25555 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T204 25621-25627 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T205 25864-25865 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T206 25930-25936 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T207 26037-26038 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T208 26146-26149 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T209 26180-26181 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T210 26318-26319 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T211 26432-26435 http://www.ebi.ac.uk/efo/EFO_0001410 denotes arm
T212 26585-26586 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T213 26695-26698 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T214 26714-26715 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T215 26725-26731 http://purl.obolibrary.org/obo/UBERON_0001456 denotes facing
T216 27107-27108 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T217 27260-27261 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T218 27381-27388 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T219 27464-27465 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T220 27488-27490 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T221 27604-27610 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T222 27952-27954 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T223 27956-27958 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T224 28088-28089 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T225 28138-28139 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T226 28159-28161 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T227 28224-28231 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T228 28511-28517 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T229 28728-28729 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T230 29057-29063 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T231 29448-29449 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T232 29650-29651 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T233 29793-29799 http://purl.obolibrary.org/obo/OBI_0000968 denotes device
T234 30007-30008 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T235 30251-30252 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T236 30371-30378 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T237 30425-30428 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T238 30469-30470 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T239 30544-30546 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T240 30672-30673 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T241 30814-30816 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T242 30988-30990 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T243 31051-31053 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T244 31368-31369 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T245 31676-31677 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T246 32128-32132 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T247 32128-32132 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T248 32555-32557 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T249 33142-33143 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T250 33155-33157 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T251 33420-33422 http://purl.obolibrary.org/obo/CLO_0050475 denotes My
T252 33524-33525 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T253 33714-33717 http://purl.obolibrary.org/obo/CLO_0001755 denotes ask
T254 34344-34351 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T255 34457-34458 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T256 34666-34667 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T257 34725-34732 http://purl.obolibrary.org/obo/CLO_0009985 denotes focused
T258 34975-34976 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T259 34998-35005 http://purl.obolibrary.org/obo/OBI_0000968 denotes Devices
T260 35297-35298 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T261 35347-35354 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T262 35367-35373 http://purl.obolibrary.org/obo/UBERON_0000033 denotes headed
T263 35367-35373 http://www.ebi.ac.uk/efo/EFO_0000964 denotes headed
T264 35603-35608 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T265 35603-35608 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T266 35603-35608 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T267 35603-35608 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T268 35615-35619 http://purl.obolibrary.org/obo/UBERON_0000014 denotes skin
T269 35615-35619 http://purl.obolibrary.org/obo/UBERON_0001003 denotes skin
T270 35615-35619 http://purl.obolibrary.org/obo/UBERON_0002097 denotes skin
T271 35615-35619 http://purl.obolibrary.org/obo/UBERON_0002199 denotes skin
T272 35615-35619 http://www.ebi.ac.uk/efo/EFO_0000962 denotes skin
T273 35633-35638 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T274 35633-35638 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T275 35667-35675 http://purl.obolibrary.org/obo/CLO_0001658 denotes activity
T276 35786-35793 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T277 35972-35973 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T278 36287-36288 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T279 36501-36508 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T280 36640-36647 http://purl.obolibrary.org/obo/OBI_0000968 denotes devices
T281 37240-37241 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T282 37559-37560 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T283 37727-37732 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes Human
T284 37737-37743 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes Animal
T285 37819-37824 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T286 37828-37834 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animal

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 4266-4268 Chemical denotes WW http://purl.obolibrary.org/obo/CHEBI_74876
T2 4553-4555 Chemical denotes WW http://purl.obolibrary.org/obo/CHEBI_74876
T3 7184-7189 Chemical denotes sales http://purl.obolibrary.org/obo/CHEBI_24866
T4 9055-9062 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T5 9401-9408 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T6 9623-9630 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T7 9780-9787 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T8 9924-9931 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T9 10054-10061 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T10 10076-10082 Chemical denotes Access http://purl.obolibrary.org/obo/CHEBI_34922
T11 10218-10225 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T12 10504-10511 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T13 10773-10780 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T14 11002-11009 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T15 11318-11325 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T16 11610-11617 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T17 11956-11963 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T18 12265-12272 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T19 12735-12742 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T20 13020-13027 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T21 13099-13103 Chemical denotes Gold http://purl.obolibrary.org/obo/CHEBI_29287
T22 13281-13294 Chemical denotes macronutrient http://purl.obolibrary.org/obo/CHEBI_33937
T23 13359-13361 Chemical denotes WW http://purl.obolibrary.org/obo/CHEBI_74876
T24 13401-13408 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T25 13798-13805 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T26 14157-14164 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T27 14498-14505 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T28 20659-20664 Chemical denotes ozone http://purl.obolibrary.org/obo/CHEBI_25812
T29 21532-21539 Chemical denotes Android http://purl.obolibrary.org/obo/CHEBI_27436
T30 22374-22382 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T31 22981-22989 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T32 23146-23154 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T33 23387-23395 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T34 24054-24071 Chemical denotes albuterol sulfate http://purl.obolibrary.org/obo/CHEBI_2550
T35 24054-24063 Chemical denotes albuterol http://purl.obolibrary.org/obo/CHEBI_2549
T36 24064-24071 Chemical denotes sulfate http://purl.obolibrary.org/obo/CHEBI_16189
T37 24091-24113 Chemical denotes fluticasone propionate http://purl.obolibrary.org/obo/CHEBI_31441
T38 24091-24102 Chemical denotes fluticasone http://purl.obolibrary.org/obo/CHEBI_5134
T39 24103-24113 Chemical denotes propionate http://purl.obolibrary.org/obo/CHEBI_17272
T40 24118-24128 Chemical denotes salmeterol http://purl.obolibrary.org/obo/CHEBI_9011
T41 24146-24168 Chemical denotes fluticasone propionate http://purl.obolibrary.org/obo/CHEBI_31441
T42 24146-24157 Chemical denotes fluticasone http://purl.obolibrary.org/obo/CHEBI_5134
T43 24158-24168 Chemical denotes propionate http://purl.obolibrary.org/obo/CHEBI_17272
T44 24858-24873 Chemical denotes corticosteroids http://purl.obolibrary.org/obo/CHEBI_50858
T45 25000-25009 Chemical denotes albuterol http://purl.obolibrary.org/obo/CHEBI_2549
T46 27203-27211 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958
T47 27335-27337 Chemical denotes AV http://purl.obolibrary.org/obo/CHEBI_73809
T48 35020-35028 Chemical denotes medicine http://purl.obolibrary.org/obo/CHEBI_23888
T49 35639-35645 Chemical denotes oxygen http://purl.obolibrary.org/obo/CHEBI_25805
T50 36588-36596 Chemical denotes medicine http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 6309-6314 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T2 6339-6354 http://purl.obolibrary.org/obo/GO_0044850 denotes menstrual cycle
T3 6564-6569 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T4 7596-7601 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T5 7656-7664 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior
T6 7890-7897 http://purl.obolibrary.org/obo/GO_0007605 denotes Hearing
T7 14742-14747 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T8 15193-15202 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T9 15924-15933 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T10 16754-16759 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T11 16776-16781 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T12 16843-16848 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T13 16891-16896 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T14 17012-17017 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T15 17078-17083 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T16 17256-17261 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T17 17451-17456 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T18 17642-17647 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T19 17753-17758 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T20 18082-18087 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T21 18319-18324 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T22 19173-19182 http://purl.obolibrary.org/obo/GO_0007585 denotes Breathing
T23 19240-19249 http://purl.obolibrary.org/obo/GO_0007585 denotes breathing
T24 20205-20210 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T25 21138-21143 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T26 21297-21302 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T27 21390-21395 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T28 21727-21732 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T29 29744-29753 http://purl.obolibrary.org/obo/GO_0007585 denotes breathing
T30 29856-29861 http://purl.obolibrary.org/obo/GO_0030431 denotes sleep
T31 30967-30976 http://purl.obolibrary.org/obo/GO_0007585 denotes breathing
T32 32717-32725 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior
T33 32805-32813 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior
T34 32869-32878 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T35 32913-32922 http://purl.obolibrary.org/obo/GO_0007610 denotes behaviors
T36 33236-33244 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior
T37 33938-33946 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-74 Sentence denotes Wearable Technology and How This Can Be Implemented into Clinical Practice
T2 76-84 Sentence denotes Abstract
T3 85-102 Sentence denotes Purpose of Review
T4 103-186 Sentence denotes Our day-to-day life is saturated with health data that was previously out of reach.
T5 187-522 Sentence denotes Over the last decade, new devices and fitness technology companies are attempting to tap into this data, uncovering a treasure trove of useful information that, when applied correctly, has the potential to revolutionize the way we approach healthcare and chronic conditions like asthma, especially in the wake of the COVID-19 pandemic.
T6 524-539 Sentence denotes Recent Findings
T7 540-755 Sentence denotes By harnessing exciting developments in personalization, digitization, wellness, and patient engagement, care providers can improve health outcomes for our patients in a way we have never been able to do in the past.
T8 756-913 Sentence denotes While new technologies to capture individual health metrics are everywhere, how can we use this information to make a real difference in our patients’ lives?
T9 914-1077 Sentence denotes Navigating the complicated landscape of personal wearable devices, asthma inhaler sensors, and exercise apps can be daunting to even the most tech savvy physician.
T10 1079-1086 Sentence denotes Summary
T11 1087-1330 Sentence denotes This manuscript will give you the tools necessary to make lasting changes in your patients’ lives by exposing them to a world of usable, affordable, and relatable health technology that resonates with their personal fitness and wellness goals.
T12 1331-1528 Sentence denotes These tools will be even more important post-COVID-19, as the landscape of clinical outpatient care changes from mainly in-person visits to a greater reliance on telemedicine and remote monitoring.
T13 1530-1542 Sentence denotes Introduction
T14 1543-1696 Sentence denotes As our world has become upended with the arrival of COVID-19, the way in which healthcare will be provided in the future is likely to change drastically.
T15 1697-1879 Sentence denotes This pandemic is a big wake-up call for limiting in-person visits, especially during the flu season that put vulnerable patients at undo risk coming into the office for routine care.
T16 1880-2058 Sentence denotes We have had the technology to perform telemedicine visits for years, but patients’ hesitancy and poor insurance reimbursement have always been barriers for widespread acceptance.
T17 2059-2218 Sentence denotes In the wake of the COVID-19 pandemic, most primary care and specialty offices transitioned to a telemedicine-focused approach within a matter of days to weeks.
T18 2219-2382 Sentence denotes In response, the Centers for Medicare & Medicaid Services (CMS) relaxed many requirements for Medicare patients and the states followed suit for Medicaid patients.
T19 2383-2562 Sentence denotes Insurance companies also loosened restrictions giving healthcare providers increased flexibility to provide care for their patients from the comfort and safety of their own homes.
T20 2563-2787 Sentence denotes 2020 will be the ultimate testing ground for various telehealth services and remote monitoring applications, and it is the hope of the authors that recent changes in access and reimbursement will remain in place permanently.
T21 2788-2970 Sentence denotes To meet the needs of this growing market, new technologies including wearable devices will play an important role in providing real-time data to objectively monitor patients at home.
T22 2971-3165 Sentence denotes These devices will be especially important for improving the health and control of chronically ill patients and for those with conditions like asthma, COPD, diabetes, and cardiovascular disease.
T23 3166-3280 Sentence denotes The focus of this paper revolves around wearable devices for asthma, but can be applied for any chronic condition.
T24 3281-3450 Sentence denotes If these home devices can provide usable data in a reliable, cheap, and easy-to-use format, then the need for in-person visits in the future will be drastically reduced.
T25 3452-3468 Sentence denotes Connected Health
T26 3469-3636 Sentence denotes Innovations in personalized health technology provide a unique opportunity to develop connected healthcare models that are built around the patients’ individual needs.
T27 3637-3969 Sentence denotes The term connected health describes the use of a variety of technologies to inform and aid healthcare delivery in a data-driven manner with the individual at the center.7 It covers a broad domain, including digital, mobile health, and telehealth, and ensures all stakeholders are connected with data that is accurate and timely [1].
T28 3970-4228 Sentence denotes An integrative connected health model can also offer social support through online forums or networks where users are able to interact with peers with similar healthcare conditions or goals helping to further enhance patient experience and improve adherence.
T29 4229-4451 Sentence denotes Commercial weight loss programs like WW (formerly Weight Watchers) was one of the first large-scale programs to take advantage of social support networks to motivate their clients and make them accountable to other people.
T30 4452-4768 Sentence denotes A 2005 systematic review of commercial and proprietary weight loss programs’ efficacy concluded that WW was the only program with demonstrated efficacy in achieving modest weight loss based on results from 3 randomized controlled trials (RCTs), and their unique social approach likely contributed to its success [2].
T31 4769-4962 Sentence denotes A recently published systematic review found relatively strong evidence that greater social support, self-efficacy, and self-motivation can predict higher adherence to home-based therapies [3].
T32 4963-5195 Sentence denotes There is enough data to suggest that social support networks improve adherence to fitness, weight loss, and home-based therapies that healthcare providers should be actively curating a wider support network for their patients [4–6].
T33 5196-5415 Sentence denotes Wearable devices and associated apps take social connectivity to the next level and provided unparalleled access to support networks that have the potential to further encourage adherence to fitness and health regimens.
T34 5416-5645 Sentence denotes Promising results have already been reported with the use of apps to improve adherence and outcomes in various healthcare scenarios including weight loss, smoking cessation, diabetic management, and home exercise programs [7–11].
T35 5647-5682 Sentence denotes The First Wave of Wearable Devices:
T36 5683-5700 Sentence denotes Activity Trackers
T37 5701-5904 Sentence denotes The concepts of wellness and mindfulness have become an increasing part of the public health discussion as there seems to be a growing appreciation for a more holistic approach to fitness and well-being.
T38 5905-6104 Sentence denotes With the advent of more advanced wearable technology like fitness trackers and smartwatches starting in 2014, consumers are no longer content with just tracking their weight loss goals or step count.
T39 6105-6378 Sentence denotes Personalized healthcare devices arm users with snapshots of their activity and recovery data and allow them to track advanced performance metrics including step tracking, heart rate, body fat percentage, sleep quality, stress levels, menstrual cycle, and fertility windows.
T40 6379-6575 Sentence denotes As this data becomes more accessible, consumers are discovering that overall health is the sum of all the small choices you make each day: what you eat, how much you move, how much you sleep, etc.
T41 6576-6751 Sentence denotes Having fitness and weight loss goals is an important first step, but converting that enthusiasm to actual gym time and change in habits has always been the rate limiting step.
T42 6752-7027 Sentence denotes That is where innovative fitness startups and fitness technology companies are focusing their attention: getting people excited about working out, offering unparalleled convenience, and keeping members engaged long-term by utilizing the latest in technology and social media.
T43 7028-7091 Sentence denotes Since 2014, the use of commercial wearable devices has doubled.
T44 7092-7259 Sentence denotes Currently, 19% of Americans use a wearable fitness tracker (e.g., Fitbit, Apple Watch) with sales projected to double by 2022, becoming a $27 billion+ market [12, 13].
T45 7261-7309 Sentence denotes Wearable Devices that Promote Health and Fitness
T46 7310-7467 Sentence denotes As more and more patients use wearable devices and smartphone apps to track their personal health data, how can this information be used in a meaningful way?
T47 7468-7711 Sentence denotes Fitness technology companies like Fitbit and Apple Health are leveraging insights from over 10 years of activity, exercise, and sleep data to better inform future applications and provide behavior change techniques and insights to their users.
T48 7712-7904 Sentence denotes Apple recently announced that customers in the USA can enroll in three landmark health studies: the Apple Women’s Health Study, the Apple Heart and Movement Study, and the Apple Hearing Study.
T49 7905-8222 Sentence denotes Conducted in partnership with leading academic and research institutions like the World Health Organization, these multi-year longitudinal studies are leveraging the ubiquity of Apple products to provide a treasure trove of user data to inform potential medical discoveries that could improve healthcare for all [14].
T50 8223-8383 Sentence denotes Wearable devices themselves can provide crude feedback like reminders to move or stand which prompts users to take more steps per hour or stand more frequently.
T51 8384-8569 Sentence denotes For additional charges, some devices can provide more detailed personal wellness reports, offering actionable guidance and coaching to help users achieve their health and fitness goals.
T52 8570-8833 Sentence denotes Some companies like Fitbit are taking it a step further and offering personal, one-on-one coaching services for weight loss and diabetes control providing users with a personalized plans and direct support from their team of certified health and wellness coaches.
T53 8834-8918 Sentence denotes A small sampling of highly rated fitness and nutrition apps are included in Table 1.
T54 8919-8963 Sentence denotes Table 1 Top rated fitness and nutrition apps
T55 8964-9009 Sentence denotes App Supporting devices Cost structure Details
T56 9010-9042 Sentence denotes For all-around healthy lifestyle
T57 9043-9275 Sentence denotes   8fit iOS, Android Free; $59.99 per year; $44.99 per half-year; $19.99 per month for meal plans and more workouts On-demand workouts and meal planning for people who like a lot of guidance, suggestions, reminders, and instructions.
T58 9276-9376 Sentence denotes Provides realistic assessment of how hard or easy it will be to reach your health and fitness goals.
T59 9377-9381 Sentence denotes Yoga
T60 9382-9527 Sentence denotes   Asana Rebel iOS, Android $39.99 for 3 months; $58.99 for 12 months Yoga-inspired fitness that has guided yoga flows alongside regular workouts.
T61 9528-9602 Sentence denotes Input goals, track progress, and choose classes based on experience level.
T62 9603-9762 Sentence denotes   Yoga Wake Up iOS, Android $10 per month Offers different audio yoga and meditation sequences that are designed to start in bed and end with you on your feet.
T63 9763-9908 Sentence denotes   Alo Moves iOS, Android $20 per month Has over 2000 videos organized into 200 plans and over 500 single classes taught by the top names in yoga.
T64 9909-10011 Sentence denotes   YogaGlo iOS, Android $18 per month Offers more than 3800 yoga workouts and guided mediation classes.
T65 10012-10030 Sentence denotes On-demand workouts
T66 10031-10197 Sentence denotes   Peloton Digital iOS, Android $20 per month Access live-streamed classes to use on any bike or treadmill or try one of their boot camp, strength, or outdoor classes.
T67 10198-10375 Sentence denotes   Fitbit Coach iOS, Android Free; $9.99 per month or $79.99 per year for Premium Takes users daily Fitbit activity data to recommend exercises and personalized fitness feedback.
T68 10376-10447 Sentence denotes Large database of workout videos with step-by-step directions and tips.
T69 10448-10477 Sentence denotes Compatible with Fitbit Radio.
T70 10478-10661 Sentence denotes   Nike Training Club iOS, Android Free; $14.99 per month or $119.99 per year for Premium Has classic short sessions but includes workout routines that are 30, 45, or even 60 min long.
T71 10662-10757 Sentence denotes A Premium account also comes with programs led by trainers and nutrition and wellness guidance.
T72 10758-10901 Sentence denotes   Sworkit iOS, Android $10 per month Custom no-equipment training plans, complete with guided videos for each workout ranging from 5 to 60 min.
T73 10902-10987 Sentence denotes Users can also connect with personal trainers to ask questions and get expert advice.
T74 10988-11110 Sentence denotes   Aaptiv iOS, Android $15 per month Audio classes taught by trainers guiding users through a fitness studio-style session.
T75 11111-11209 Sentence denotes Over 2500 workouts in cycling, yoga, strength training, stretching, elliptical workouts, and more.
T76 11210-11286 Sentence denotes Also comes with full marathon, half marathon, 10K, and 5K training programs.
T77 11287-11303 Sentence denotes Fitness tracking
T78 11304-11464 Sentence denotes   Strava iOS, Android, Web Free; $7.99 per month or $59.99 per year Users can compete against themselves or others who have run, biked, or swam the same routes.
T79 11465-11587 Sentence denotes The app uses phone/watches GPS to track where users go and how fast then compares with other users creating a leaderboard.
T80 11588-11731 Sentence denotes   Map My Fitness iOS, Android Free; $5.99 per month or $29.99 per year for MVP Recommended for those just getting started on a fitness journey.
T81 11732-11865 Sentence denotes Has hundreds of activities you can track, everything from vacuuming to rock climbing motivating user to keep a more active lifestyle.
T82 11866-11934 Sentence denotes Consolidates data from various fitness trackers or apps such Fitbit.
T83 11935-12051 Sentence denotes   Charity Miles iOS, Android Free Motivates by donating money to charity for every mile users run, walk, or bicycle.
T84 12052-12225 Sentence denotes Supports a variety of nonprofit organizations, such as ASPCA, Habitat for Humanity, St. Jude Children’s Hospital, UNICEF, Save the Children, and the Wounded Warrior Project.
T85 12226-12244 Sentence denotes Nutrition-Tracking
T86 12245-12438 Sentence denotes   MyFitnessPal iOS, Android Free; $9.99 per month or $49.99 per year for Premium Calorie counting app that also figures out how many calories users should eat to gain, lose, or maintain weight.
T87 12439-12565 Sentence denotes Consolidates everything users eat and drink, plus all their activities to calculate calories consumed against calories burned.
T88 12566-12637 Sentence denotes It also has tools for tracking weight and other body changes over time.
T89 12638-12722 Sentence denotes It has the largest database of foods and is the best food logging app on the market.
T90 12723-13004 Sentence denotes   Noom iOS, Android $59 per month, $199 per year (additional pricing options available) Complete weight loss program with daily interactive content, a personal goal coach, and plenty of content to help users master the psychology involved with changing their relationships to food.
T91 13005-13197 Sentence denotes   MyPlate iOS, Android, Web Free; $9.99 per month, $30 for six months, or $44.99 per year for Gold All-in-one fitness app, combining calorie counting, weight management, recipes, and workouts.
T92 13198-13356 Sentence denotes Users look up and record everything they eat and can see a nutritional analysis of macronutrient intake for free (requires paid subscription in MyFitnessPal).
T93 13357-13573 Sentence denotes   WW Digital (formally WeightWatchers) iOS, Android, Web $23.99 per month or $219.99 per year Highly supportive community and app that focuses more on personalization and overall health rather than weight loss alone.
T94 13574-13682 Sentence denotes Users do not have to attend meetings or meet with a counselor (although this is an option for an added fee).
T95 13683-13758 Sentence denotes Monitors food intake with SmartPoints rather than counting calories or fat.
T96 13759-13785 Sentence denotes Mindfulness and meditation
T97 13786-14026 Sentence denotes   Calm iOS, Android $14.99 per month or $69.99 per year Guided mindfulness meditation that initially offers a “7 Days of Calm” course which introduces users to mindfulness meditation, as well as some guided and unguided meditation sessions.
T98 14027-14139 Sentence denotes Paid users have access to more multi-day courses, a “Daily Calm” course, and many, many more guided meditations.
T99 14140-14277 Sentence denotes   Headspace iOS, Android $12.99 per month or $69.99 per year Guided meditation for health issues, emotions, challenges, and productivity.
T100 14278-14353 Sentence denotes There are even “SOS” sessions for some of the more stressful times in life.
T101 14354-14470 Sentence denotes Recently added free content called Weathering the Storm for those struggling with the emotional effects of COVID-19.
T102 14471-14655 Sentence denotes   The Mindfulness App iOS, Android $9.99 per month or $59.99 per year Starts with a 5-day introduction to mindfulness along with guided meditations to get you familiar with meditating.
T103 14656-14830 Sentence denotes With subscription choose guided or silent meditation sessions for challenges, travel, sleep, relationships, stress relief, emotions, body awareness, focus, and relationships.
T104 14831-15037 Sentence denotes *The authors are aware of the transient nature of fitness, nutrition, and lifestyle apps and understand that the recommendations provided at the time of this publication might not be available in the future
T105 15038-15299 Sentence denotes The ultimate goal with these devices and apps is to provide real-time feedback to patients so that they actually see data that illustrates how destructive behaviors impact them physically, providing additional motivation to more proactively manage their health.
T106 15300-15432 Sentence denotes The more the patient understands about their personal health, the more empowered they will be to make meaningful behavioral changes.
T107 15433-15570 Sentence denotes Healthcare providers need to be able to access and interpret personalized health data, as well as distill it into usable teaching points.
T108 15571-15730 Sentence denotes In the past, physicians often took an authoritarian approach to health and fitness education which did little to encourage active participation by the patient.
T109 15731-16011 Sentence denotes By employing a patient-centered approach utilizing data gleaned from wearable devices, healthcare providers have an opportunity to work in concert with patients to impart measurable skills and behaviors in a real and tangible way with the ability to track this progress over time.
T110 16012-16232 Sentence denotes When patients are included in a collaborative and patient-centered discussion about their health and well-being, compliance and satisfaction rates improve, leading to a more effective doctor-patient relationship [15–17].
T111 16233-16420 Sentence denotes It is important to note that these devices are still in their infancy, and the accuracy and validity of the data still need to be strengthened in order to provide the best medical advice.
T112 16422-16448 Sentence denotes Wearable Devices in Asthma
T113 16449-16627 Sentence denotes Most of the wearable fitness device research to date has focused in diseases associated with low levels of physical activity, namely cardiovascular disease, diabetes, and cancer.
T114 16628-16791 Sentence denotes Few have focused on asthma and of the studies conducted in asthma populations, all have honed in on the use of Fitbit-derived sleep measures (i.e., sleep quality).
T115 16792-16886 Sentence denotes Castner et al. used the Fitbit Charge™ to validate sleep measures in women with asthma [18••].
T116 16887-17036 Sentence denotes The sleep measures collected by the Fitbit were compared with Actigraph GT3X +, a well-known and validated device to collect sleep measures [19, 20].
T117 17037-17150 Sentence denotes The Fitbit device tended to overestimate sleep efficiency and underestimate wake counts compared with actigraphy.
T118 17151-17350 Sentence denotes Two additional studies were conducted in pediatric populations and focused on correlating Fitbit-derived sleep measures to patient-reported outcomes such as asthma control and asthma impact [21, 22].
T119 17351-17626 Sentence denotes Bian and colleagues assessed the association between self-reported asthma impact and Fitbit-derived sleep quality (the ratio of minutes asleep to minutes in bed) and physical activity measures (daily minutes of moderate and vigorous activity) in adolescents with asthma [21].
T120 17627-17920 Sentence denotes Fitbit-derived sleep quality was moderately correlated with Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance score (r = − 0.31, P = 0.01) and had a weak but significant correlation with the PROMIS pediatric asthma impact score (average r = − 0.18, P = 0.02).
T121 17921-18038 Sentence denotes Fitbit-derived physical activity levels were not associated with PROMIS pediatric asthma impact (r = 0.04, P = 0.62).
T122 18039-18228 Sentence denotes These findings suggest that measurement of sleep quality, using the Fitbit device, may help develop personalized asthma management strategies for children and their caregivers in real time.
T123 18229-18611 Sentence denotes The final study measured several mobile metrics of asthma including physical activity and sleep using Fitbits, forced expiratory volume in 1 s and peak expiratory flow, indoor air quality using Foobot (https://foobot.io/), and a mobile app that collected information on asthma control (symptoms, physical limitations due to asthma, nighttime awakenings, and medication intake) [22].
T124 18612-18859 Sentence denotes These metrics were used together to digitally phenotype children with asthma and provide a better measure of the patient’s asthma control to their clinician when compared with the Asthma Control Test scores taken infrequently during clinic visits.
T125 18860-19083 Sentence denotes Additional work using this ecological metric of asthma control is needed and may be used in the future to generate insights on the relationship between a patient’s asthma symptoms and triggers across different seasons [23].
T126 19084-19172 Sentence denotes Acoustic monitoring is another type of wearable devices that has been studied in asthma.
T127 19173-19358 Sentence denotes Breathing sound measured by microphones over human skin can detect breathing patterns (respiratory rate, flow rate, tidal volume) and symptoms that may be due to asthma (wheeze, cough).
T128 19359-19462 Sentence denotes Moreover, chest movement signals can be acquired using an accelerometer or belt-shaped device [24, 25].
T129 19463-19568 Sentence denotes Boner et al. measured the nocturnal wheeze in children with asthma using an acoustic respiratory monitor.
T130 19569-19753 Sentence denotes They found that among children with apparently well-controlled asthma, 57% had considerable amounts of night wheezing that was unrelated to conventional measures of lung function [26].
T131 19754-19885 Sentence denotes The use of these continual wearable monitoring systems is still a developing field that needs further study on its clinical impact.
T132 19887-19933 Sentence denotes Use of Electronic Monitoring Devices in Asthma
T133 19934-20086 Sentence denotes Electronic monitoring devices (EMDs) in asthma are increasingly more common since they provide objective data and are not biased by patient self-report.
T134 20087-20254 Sentence denotes The majority of the currently available EMDs focus on addressing medication adherence, with a limited few focusing on sleep monitoring and identifying asthma triggers.
T135 20255-20435 Sentence denotes The devices measuring adherence use a variety of approaches from recording audio during inhaler use, using time and date to detect medication use and capturing spirometry measures.
T136 20436-20745 Sentence denotes These devices are paired with mobile applications (Apps) on smartphones which can provide the patient with audiovisual reminders for taking medications, correlate medication use with environmental exposures (i.e., weather, ozone, pollution) using smartphone GPS coordinates and feedback on proper inhaler use.
T137 20746-20848 Sentence denotes A summary of some of the current and emerging technologies in the asthma space is provided in Table 2.
T138 20849-20900 Sentence denotes Table 2 Current and emerging technologies in asthma
T139 20901-20956 Sentence denotes Technology Measures Outcomes in asthma studies Comments
T140 20957-20976 Sentence denotes Wearable technology
T141 20977-20986 Sentence denotes − Fitbit™
T142 20987-21167 Sentence denotes − Apple™ Watch Fitbit: heart rate (available on most but not all models), steps/day, physical activity (light, moderate and vigorous), sedentary time, sleep efficiency, wake counts
T143 21168-21372 Sentence denotes Apple Watch: heart rate, EKG, steps/day, physical activity (light, moderate and vigorous), sedentary time − Fitbit overestimated sleep efficiency and underestimated wake counts compared with actigraphy.18
T144 21373-21479 Sentence denotes − Fitbit-derived sleep quality correlated with PROMIS pediatric asthma impact score.21 Corresponding Apps:
T145 21480-21539 Sentence denotes Apple Watch App on iPhone, Fitbit App on iPhone and Android
T146 21540-21717 Sentence denotes Pros: portable; commercially available; may be useful when used with other measures such as air quality, lung function and asthma symptoms to digitally phenotype asthma patients
T147 21718-21723 Sentence denotes Cons:
T148 21724-21784 Sentence denotes No sleep data available on Apple Watch without 3rd party App
T149 21785-21798 Sentence denotes Data sharing:
T150 21799-21925 Sentence denotes Data does not sync to EMR directly but patient can access file and send to provider via mail, secure email, or patient portal.
T151 21926-22017 Sentence denotes Electronic monitoring devices (e.g., inhaler sensors ± digital health platform) Digihaler™:
T152 22018-22129 Sentence denotes − Inhaler time of inhaler use, peak inspiratory flow rate (PIFR), time to PIFR, inhalation volume and duration.
T153 22130-22154 Sentence denotes Propeller Health System:
T154 22155-22209 Sentence denotes − Inhaler sensor: date, time and number of doses taken
T155 22210-22239 Sentence denotes − Asthma Health Platform App:
T156 22240-22365 Sentence denotes Location of inhaler use using phone GPS, current weather/pollen counts/air pollution and self-report asthma symptoms/triggers
T157 22366-22383 Sentence denotes Hailie™ solution:
T158 22384-22459 Sentence denotes − Inhaler sensor: date, time, number of inhaler actuations and missed doses
T159 22460-22523 Sentence denotes − Hailie™ App: medication adherence, daily medication reminders
T160 22524-22561 Sentence denotes Inhaler compliance assessment device:
T161 22562-22657 Sentence denotes Time of dose, inhaler technique errors − Greater asthma control31,38–39 and symptom-free days33
T162 22658-22747 Sentence denotes − Reduction in daily symptoms31, rescue medication use29,32–33, and exacerbations34,38–39
T163 22748-22784 Sentence denotes − Improved medication adherence36–40
T164 22785-22857 Sentence denotes − High patient acceptability of device and digital health platform36–37.
T165 22858-22877 Sentence denotes Corresponding Apps:
T166 22878-22916 Sentence denotes Digihaler™, Propeller Health, Hailie™.
T167 22917-22990 Sentence denotes Web-based platform also available for Propeller Health, Hailie™ solution.
T168 22991-23156 Sentence denotes Pros: portable, high acceptability among patients, improvements in asthma control in those with a digital health platform (e.g., Propeller Health, Hailie™ solution).
T169 23157-23162 Sentence denotes Cons:
T170 23163-23283 Sentence denotes Additional efficacy studies of the devices are needed, cost of devices are not always covered by insurance reimbursement
T171 23284-23297 Sentence denotes Data sharing:
T172 23298-23458 Sentence denotes Provider platform available to share results (e.g. Digihaler™, Propeller Health, Hailie™ solution), patients may share data from Digihaler™ also via file share.
T173 23459-23504 Sentence denotes Mobile-based applications Self-monitoring of:
T174 23505-23522 Sentence denotes − Asthma symptoms
T175 23523-23533 Sentence denotes − Triggers
T176 23534-23612 Sentence denotes − Medication use -Improvements in asthma control though low-quality evidence45
T177 23613-23735 Sentence denotes -Improvements in asthma control in five studies, lung function in two studies and quality of life in three studies46 Pros:
T178 23736-23766 Sentence denotes Acceptable and feasible to use
T179 23767-23772 Sentence denotes Cons:
T180 23773-23894 Sentence denotes Vary in quality; data are self-reported, most apps have not been validated; risk of loss of privacy of health information
T181 23895-23908 Sentence denotes Data sharing:
T182 23909-23991 Sentence denotes Vary in ability to share with provider, most are up to user to share with provider
T183 23992-24179 Sentence denotes Teva’s Digihaler™ has been FDA approved for use with ProAir® (albuterol sulfate 117 mcg), AirDuo® (fluticasone propionate and salmeterol), and ArmonAir® (fluticasone propionate) inhalers.
T184 24180-24266 Sentence denotes The Digihaler™ contains built-in sensors that records inhalation data with timestamps.
T185 24267-24424 Sentence denotes The inhalation data includes parameters that are important for assessing inhaler technique including peak inspiratory flow rate and inhalation duration [27].
T186 24425-24550 Sentence denotes The device is connected via Bluetooth® technology to a companion App that provides information on inhaler use to the patient.
T187 24551-24685 Sentence denotes While to date, the efficacy of Digihalers has not been evaluated; one pilot study has shown its ability to predict exacerbations [28].
T188 24686-24775 Sentence denotes Adults with exacerbation-prone asthma (n = 360) used the ProAir® Digihaler™ for 12 weeks.
T189 24776-24946 Sentence denotes The Digihaler™ was able to predict asthma exacerbations (defined as need for oral corticosteroids) with an area under the receiver operating characteristic curve of 0.75.
T190 24947-25079 Sentence denotes The most predictive factor was the average number of albuterol inhalations per day during a period of 5 days before an exacerbation.
T191 25080-25216 Sentence denotes Further developments of the model in larger populations are needed to determine the efficacy of the Digihaler™ to predict exacerbations.
T192 25217-25371 Sentence denotes Propeller Health has developed a system which includes a sensor that can attach to both rescue and controller inhalers and an Asthma Health Platform [29].
T193 25372-25455 Sentence denotes The inhaler sensor collects date and time of inhaler use and number of puffs taken.
T194 25456-25628 Sentence denotes This data is transferred via Bluetooth® technology to the Asthma Health Platform on a mobile device and can be matched with GPS coordinates obtained from the mobile device.
T195 25629-25799 Sentence denotes The Asthma Health Platform can also be used to record asthma symptoms and triggers which integrates with other data streams such as weather, pollen counts, and pollution.
T196 25800-25863 Sentence denotes The Propeller Health System is one of the most studied to date.
T197 25864-26082 Sentence denotes A 4-month pilot study conducted in 30 individuals showed when the device and app were used along with weekly feedback, participants had an improvement in asthma control and a decline in day-to-day asthma symptoms [30].
T198 26083-26176 Sentence denotes The effectiveness of Propeller Health System on rescue inhaler has also been examined [31••].
T199 26177-26299 Sentence denotes In a study of 495 patients, all patients received the Propeller Health System but only 250 received sensor-based feedback.
T200 26300-26512 Sentence denotes The authors found a decrease in mean daily rescue medication use in those receiving sensor-based feedback (0.19 vs. 0.25 in control arm) which was more pronounced in patients with uncontrolled asthma at baseline.
T201 26513-26677 Sentence denotes These findings were confirmed in another study of 120 participants with a decrease in rescue medication use by 39% and an increase in symptom-free days by 12% [32].
T202 26678-26850 Sentence denotes Propeller Health has also developed a provider-facing web interface (portal) that allows providers and their staff to view patient medication use and asthma control status.
T203 26851-27032 Sentence denotes This is available to providers that enroll their patients with the Propeller Health System but can be integrated into existing EMR systems to allow for data sharing among providers.
T204 27033-27190 Sentence denotes Merchant et al. evaluated this enhanced Propeller Health System and found a decrease in asthma-related emergency department visits and hospitalizations [33].
T205 27191-27492 Sentence denotes The Hailie™ solution (previously known as SmartInhaler™ platform) is a system of medication sensors (e.g., SmartTrack™, SmartTouch™, SmartTouch AV™, SmartTurbo™; http://www.smartinhaler.com/devices/) that wrap around existing inhalers and automatically sends usage data to a patient’s smartphone [34].
T206 27493-27599 Sentence denotes The sensors record the date and time of actuations, the total number of actuations used, and missed doses.
T207 27600-27793 Sentence denotes The device pairs with the Hailie™ App and enables the patient and healthcare professionals to track medication adherence, set daily reminders, and discover insights into their medication usage.
T208 27794-27960 Sentence denotes The SmartInhaler™ sensors have been studied extensively and have demonstrated high user acceptability as well as efficacy in increasing medication adherence [35, 36].
T209 27961-28166 Sentence denotes Five randomized controlled trials using the SmartInhaler™ have been conducted in the UK, Australia, and New Zealand, including a total of 589 adults and children with asthma in a community setting [35–39].
T210 28167-28315 Sentence denotes The authors of these studies conclude that SmartInhaler™ devices were more effective than standard care in improving adherence to asthma medication.
T211 28316-28469 Sentence denotes Two of the studies showed significant improvement in clinical outcomes (e.g., asthma exacerbations, asthma control, and healthcare utilization) [37, 38].
T212 28470-28661 Sentence denotes The Inhaler Compliance Assessment (INCA) device uses time-stamped audio recordings of inhaler use to assess not only inhaler adherence but also inhaler technique (http://www.tueohealth.com/).
T213 28662-28806 Sentence denotes Specifically, it can assess proper inhaler technique by measuring a failure to prime the inhaler, inadequate inspiratory flow, and dose dumping.
T214 28807-28976 Sentence denotes This information can be used to determine if medication was not properly delivered due to inhaler technique errors (attempted adherence) or missed/late medication doses.
T215 28977-29117 Sentence denotes In one study of 184 people with chronic obstructive pulmonary disease, the INCA device was used to assess controller inhaler adherence [40].
T216 29118-29234 Sentence denotes The mean rate of attempted adherence was 58.7%, whereas actual adherence (proper timing and technique) was only 23%.
T217 29235-29358 Sentence denotes Only 7% of participants had actual adherence above 80%, underscoring the importance of addressing proper inhaler technique.
T218 29359-29472 Sentence denotes Currently, there is no mobile app for the INCA tool and the data must be downloaded onto a computer for analysis.
T219 29473-29589 Sentence denotes Additional studies are currently being conducted using an INCA App to assess its ability to improve asthma outcomes.
T220 29590-29726 Sentence denotes Tueo Health, which was acquired by Apple in 2019, developed a passive EMD to help parents monitor nighttime asthma symptoms in children.
T221 29727-29891 Sentence denotes Using commercial breathing sensors placed under the mattress, the device can passively measure key physiologic parameters during sleep (http://www.tueohealth.com/).
T222 29892-30020 Sentence denotes An asthma control score is then calculated from the physiologic data and available for the patient to view through a mobile app.
T223 30021-30189 Sentence denotes The score gives direct indication of their asthma control status based on their provider-issued asthma action plan and recommends evidence-based steps to manage asthma.
T224 30190-30323 Sentence denotes Such steps include reminders to avoid known triggers, refill a prescription, or make an appointment to see their healthcare provider.
T225 30325-30353 Sentence denotes Use of Mobile Apps in Asthma
T226 30354-30458 Sentence denotes As with wearable devices, the use of health apps on phones and tablets has rapidly been increasing [13].
T227 30459-30550 Sentence denotes There are a large number of asthma-related apps with well over 500 reported in 2019 [41••].
T228 30551-30671 Sentence denotes The mobile apps range from providing health education, symptom tracking, environmental alerts, and medication reminders.
T229 30672-30799 Sentence denotes A review conducted in 2015 selected 209 English asthma-related apps that were available in Google Play and/or Apple Store [42].
T230 30800-31202 Sentence denotes The majority (52%) of the apps evaluated were teaching and training information for patients, with 39% based on alternative treatments, such as yoga, acupressure, and breathing exercises; 22% helped users to monitor symptoms and medication adherence; 18% provided medical reference information for providers; 6% provided air quality information; and 2% served as social forums for patients with asthma.
T231 31203-31325 Sentence denotes Despite the great number of currently available mobile apps for asthma, few effectiveness evaluations have been conducted.
T232 31326-31428 Sentence denotes In 2013, Marcano and colleagues conducted a Cochrane review on mobile apps for asthma self-management.
T233 31429-31631 Sentence denotes Only two randomized controlled trials (RCTs) fit the review criteria and assessed efficacy of the apps on asthma outcomes such as asthma control, asthma quality of life, and healthcare utilization [43].
T234 31632-31820 Sentence denotes Both RCTs (n = 408) evaluated the effect of a mobile phone-based asthma self-management intervention on asthma control by comparing it with traditional, paper-based asthma self-management.
T235 31821-31958 Sentence denotes Overall, the results were inconclusive, as the evidence was low quality (GRADE) and attrition bias plus other sources of bias were found.
T236 31959-32050 Sentence denotes In 2017, another systematic review assessed asthma self-management using mHealth apps [44].
T237 32051-32195 Sentence denotes The authors found that mHealth apps improved asthma control in five studies, lung function in two studies, and quality of life in three studies.
T238 32196-32279 Sentence denotes There was no significant impact on economic outcomes such as hospitalization rates.
T239 32280-32459 Sentence denotes While there is preliminary evidence on the efficacy of asthma self-management mobile apps to improve asthma control and quality of life, the mechanisms have not been well studied.
T240 32460-32561 Sentence denotes Ramsey and colleagues reviewed the content and quality of mHealth asthma self-management apps [45••].
T241 32562-32751 Sentence denotes The mobile apps were identified through systematic searches of the Apple and Google Play stores and then coded to evaluate the inclusion of evidence-based behavior change techniques (BCTs).
T242 32752-32923 Sentence denotes Examples of BCTs include providing information about behavior-health link, identifying barriers to performing health behaviors, and prompting self-monitoring of behaviors.
T243 32924-33104 Sentence denotes The quality of the apps was also rated using the Mobile App Rating Scale (MARS) to determine app engagement, functionality, aesthetics, information quality, and subjective quality.
T244 33105-33185 Sentence denotes Of the twenty-three apps identified, a range of 1–11 BCTs were used by the apps.
T245 33186-33347 Sentence denotes The most commonly included BCTs were instruction, behavior-health link, self-monitoring, feedback, teach to use prompts/cues, consequences, and others’ approval.
T246 33348-33436 Sentence denotes Three apps used at least eight BCTs (i.e., AsthmaMD, Kiss myAsthma, and My Breathefree).
T247 33437-33541 Sentence denotes The overall quality of the apps, as measured by MARS, ranged from 2.45 to 4.50 (out of a possible 5.00).
T248 33542-33656 Sentence denotes Four apps had an overall MARS quality of > 4.0 (AsthmaMD, Asthma Health Storylines, Kiss myAsthma, and Wizdy Pets:
T249 33657-33676 Sentence denotes Kids’ Asthma Game).
T250 33677-33954 Sentence denotes As it is more common for patients to ask their healthcare providers to help them choose apps, it is important that providers are knowledgeable about which asthma management apps are high quality and include evidence-based components that will be successful for behavior change.
T251 33955-34111 Sentence denotes To date, Kiss myAsthma and AsthmaMD are the asthma management apps with the highest number of BCTs and quality scores, but this area is constantly evolving.
T252 34112-34195 Sentence denotes There are some limitations to consider regarding the use of mobile apps for asthma.
T253 34196-34284 Sentence denotes The majority of commercially available asthma apps lack validation in clinical settings.
T254 34285-34438 Sentence denotes Further, the apps are not regulated or approved as medical devices and may provide recommendations to patients that are not evidence-based or inaccurate.
T255 34439-34538 Sentence denotes Finally, there is a risk of loss of privacy of health information for patients that use these apps.
T256 34539-34635 Sentence denotes One study showed that only 30% of the most commonly used mHealth apps had privacy policies [46].
T257 34636-34791 Sentence denotes These policies often required a high-level of literacy for comprehension, were often not focused on the app itself, and were not informative for end users.
T258 34792-34961 Sentence denotes Therefore, clinicians should evaluate asthma management apps to ensure high quality and evidenced-based information prior to recommending them for their asthma patients.
T259 34963-35005 Sentence denotes Conclusion: a New Wave of Wearable Devices
T260 35006-35121 Sentence denotes The world and medicine as we know it are changing forever in the wake of the repercussions of the COVD-19 pandemic.
T261 35122-35323 Sentence denotes Limiting unnecessary in-person visits, especially for at-risk patients, and expanding the scope of what we can provide remotely using new technological advancements should be a priority moving forward.
T262 35324-35516 Sentence denotes The future of wearable devices seems to be headed towards continuous measurements of personal physiology to predict, prevent, or help to aid in the diagnosis of an underlying health condition.
T263 35517-35676 Sentence denotes This approach allows frequent and continuous measurements of body functions including heart rate, skin temperature, blood oxygen levels, and physical activity.
T264 35677-35919 Sentence denotes Recent studies investigating the utility of wearable sensors indicate that the information provided by these devices is physiologically meaningful and actionable and will likely to play an important role in managing health in the future [47].
T265 35920-36060 Sentence denotes Healthcare providers and patients themselves can do a much better job of tracking their health outside of regularly scheduled office visits.
T266 36061-36247 Sentence denotes Currently, providers are relying on patients with chronic health conditions to consistently self-report progress and medication compliance which is inefficient and unpredictable at best.
T267 36248-36457 Sentence denotes Having access to reliable home data on a consistent basis that is relevant to the patient’s specific medical condition is key to improving health outcomes not only for asthma but also for all chronic diseases.
T268 36458-36612 Sentence denotes Increased utilization of health monitoring devices by patients will likely become an important aspect of self-care and preventive medicine moving forward.
T269 36613-36802 Sentence denotes The data provided by these devices will allow care providers to provide patients with personalized tools and tailored solutions to improve their health and encourage fitness and diet goals.
T270 36803-36953 Sentence denotes They may also help to enhance accurate symptom reports, improve accuracy of diagnosis, and streamline appropriate specialty referral when appropriate.
T271 36955-37032 Sentence denotes This article is part of the Topical Collection on Telemedicine and Technology
T272 37033-37049 Sentence denotes Publisher’s Note
T273 37050-37168 Sentence denotes Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
T274 37170-37203 Sentence denotes Compliance with Ethical Standards
T275 37205-37225 Sentence denotes Conflict of Interest
T276 37226-37542 Sentence denotes Dr. Greiwe is a consultant for AstraZeneca on social media and respiratory biologics scientific expert on the virtual advisory board; Sanofi Grenzyme Dupixent scientific expert on the virtual advisory board; honoraria from AstraZeneca Fesenra Speakers Bureau, Regeneron, and Sanofi Grenzyme Dupixent Speakers Bureau.
T277 37543-37725 Sentence denotes Dr. Nyenhuis is a board member of Chicago Asthma Consortium; grant from National Institute of Health, honoraria from Sanofi, royalties from Springer Nature and Wolters Kluwer Health.
T278 37727-37771 Sentence denotes Human and Animal Rights and Informed Consent
T279 37772-37876 Sentence denotes This article does not contain any studies with human or animal subjects performed by any of the authors.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 466-472 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T2 981-987 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T3 3114-3120 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T4 3122-3126 Phenotype denotes COPD http://purl.obolibrary.org/obo/HP_0006510
T5 3142-3164 Phenotype denotes cardiovascular disease http://purl.obolibrary.org/obo/HP_0001626
T6 3227-3233 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T7 4240-4251 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T8 4507-4518 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T9 4624-4635 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T10 5054-5065 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T11 5558-5569 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T12 6072-6083 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T13 6595-6606 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T14 8682-8693 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T15 12820-12831 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T16 13555-13566 Phenotype denotes weight loss http://purl.obolibrary.org/obo/HP_0001824
T17 15413-15431 Phenotype denotes behavioral changes http://purl.obolibrary.org/obo/HP_0000708
T18 16442-16448 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T19 16582-16604 Phenotype denotes cardiovascular disease http://purl.obolibrary.org/obo/HP_0001626
T20 16620-16626 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T21 16648-16654 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T22 16687-16693 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T23 16872-16878 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T24 17308-17314 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T25 17327-17333 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T26 17418-17424 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T27 17614-17620 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T28 17753-17770 Phenotype denotes sleep disturbance http://purl.obolibrary.org/obo/HP_0002360
T29 17869-17875 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T30 18003-18009 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T31 18152-18158 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T32 18280-18286 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T33 18499-18505 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T34 18553-18559 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T35 18682-18688 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T36 18735-18741 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T37 18792-18798 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T38 18908-18914 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T39 19024-19030 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T40 19165-19171 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T41 19335-19341 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T42 19351-19356 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T43 19523-19529 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T44 19632-19638 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T45 19678-19686 Phenotype denotes wheezing http://purl.obolibrary.org/obo/HP_0030828
T46 19927-19933 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T47 19974-19980 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T48 20238-20244 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T49 20812-20818 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T50 20894-20900 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T51 20933-20939 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T52 21437-21443 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T53 21663-21669 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T54 21702-21708 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T55 22212-22218 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T56 22341-22347 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T57 22611-22617 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T58 23058-23064 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T59 23507-23513 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T60 23568-23574 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T61 23630-23636 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T62 24717-24723 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T63 24811-24817 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T64 25343-25349 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T65 25514-25520 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T66 25633-25639 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T67 25683-25689 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T68 26018-26024 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T69 26061-26067 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T70 26493-26499 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T71 26828-26834 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T72 27121-27127 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T73 28128-28134 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T74 28297-28303 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T75 28394-28400 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T76 28416-28422 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T77 29009-29046 Phenotype denotes chronic obstructive pulmonary disease http://purl.obolibrary.org/obo/HP_0006510
T78 29573-29579 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T79 29698-29704 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T80 29895-29901 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T81 30064-30070 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T82 30117-30123 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T83 30182-30188 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T84 30347-30353 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T85 30487-30493 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T86 30720-30726 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T87 31195-31201 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T88 31267-31273 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T89 31405-31411 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T90 31535-31541 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T91 31559-31565 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T92 31575-31581 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T93 31697-31703 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T94 31736-31742 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T95 31797-31803 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T96 32003-32009 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T97 32096-32102 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T98 32335-32341 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T99 32381-32387 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T100 32526-32532 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T101 33600-33606 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T102 33663-33669 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099
T103 33832-33838 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T104 33999-34005 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T105 34188-34194 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T106 34235-34241 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T107 34830-34836 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T108 34945-34951 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T109 36416-36422 Phenotype denotes asthma http://purl.obolibrary.org/obo/HP_0002099
T110 37585-37591 Phenotype denotes Asthma http://purl.obolibrary.org/obo/HP_0002099

2_test

Id Subject Object Predicate Lexical cue
32506184-23676416-23940153 3966-3967 23676416 denotes 1
32506184-15630109-23940154 4765-4766 15630109 denotes 2
32506184-27097761-23940155 4959-4960 27097761 denotes 3
32506184-12684357-23940156 5190-5191 12684357 denotes 4
32506184-10028217-23940156 5190-5191 10028217 denotes 4
32506184-19945338-23940156 5190-5191 19945338 denotes 4
32506184-24418413-23940157 5639-5640 24418413 denotes 7
32506184-25753009-23940157 5639-5640 25753009 denotes 7
32506184-24332469-23940157 5639-5640 24332469 denotes 7
32506184-24350804-23940157 5639-5640 24350804 denotes 7
32506184-16808754-23940158 16225-16227 16808754 denotes 15
32506184-21551394-23940158 16225-16227 21551394 denotes 15
32506184-26969293-23940158 16225-16227 26969293 denotes 15
32506184-29972657-23940159 16880-16882 29972657 denotes 18
32506184-28526251-23940160 17028-17030 28526251 denotes 19
32506184-26484953-23940161 17032-17034 26484953 denotes 20
32506184-28743679-23940162 17342-17344 28743679 denotes 21
32506184-28743679-23940163 17622-17624 28743679 denotes 21
32506184-31518318-23940164 19079-19081 31518318 denotes 23
32506184-22035321-23940165 19458-19460 22035321 denotes 25
32506184-20394513-23940166 19749-19751 20394513 denotes 26
32506184-28481631-23940167 24420-24422 28481631 denotes 27
32506184-23460785-23940168 26078-26080 23460785 denotes 30
32506184-26778246-23940169 26170-26172 26778246 denotes 31
32506184-29150069-23940170 26673-26675 29150069 denotes 32
32506184-17320942-23940171 27952-27954 17320942 denotes 35
32506184-22741746-23940172 27956-27958 22741746 denotes 36
32506184-17320942-23940173 28159-28161 17320942 denotes 35
32506184-22741746-23940173 28159-28161 22741746 denotes 35
32506184-27815524-23940173 28159-28161 27815524 denotes 35
32506184-25617215-23940173 28159-28161 25617215 denotes 35
32506184-20170329-23940173 28159-28161 20170329 denotes 35
32506184-27815524-23940174 28461-28463 27815524 denotes 37
32506184-25617215-23940175 28465-28467 25617215 denotes 38
32506184-28276739-23940176 29113-29115 28276739 denotes 40
32506184-31706485-23940177 30544-30546 31706485 denotes 41
32506184-25725939-23940178 30795-30797 25725939 denotes 42
32506184-30954644-23940179 32555-32557 30954644 denotes 45
32506184-25147247-23940180 34631-34633 25147247 denotes 46
32506184-28081144-23940181 35915-35917 28081144 denotes 47