PMC:7275133 / 1530-36953 JSON TXT

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LitCovid-PubTator

Id	Subject	Object	Predicate	Lexical cue	tao:has_database_id
58	1592-1596	Gene	denotes	COPD	Gene:260431
59	1646-1648	Gene	denotes	of	Gene:6688
60	1521-1523	Gene	denotes	of	Gene:6688
61	1276-1278	Gene	denotes	of	Gene:6688
62	1161-1163	Gene	denotes	of	Gene:6688
63	1013-1015	Gene	denotes	of	Gene:6688
64	671-673	Gene	denotes	of	Gene:6688
65	541-543	Gene	denotes	of	Gene:6688
66	62-64	Gene	denotes	of	Gene:6688
67	287-295	Species	denotes	patients	Tax:9606
68	423-431	Species	denotes	patients	Tax:9606
69	792-800	Species	denotes	patients	Tax:9606
70	843-851	Species	denotes	patients	Tax:9606
71	976-984	Species	denotes	patients	Tax:9606
72	1423-1431	Species	denotes	patients	Tax:9606
73	1540-1548	Species	denotes	patients	Tax:9606
74	65-73	Disease	denotes	COVID-19	MESH:C000657245
75	548-556	Disease	denotes	COVID-19	MESH:C000657245
76	1584-1590	Disease	denotes	asthma	MESH:D001249
77	1598-1606	Disease	denotes	diabetes	MESH:D003920
78	1612-1634	Disease	denotes	cardiovascular disease	MESH:D002318
79	1697-1703	Disease	denotes	asthma	MESH:D001249
84	2164-2166	Gene	denotes	of	Gene:6688
85	2151-2153	Gene	denotes	of	Gene:6688
86	2079-2087	Species	denotes	patients	Tax:9606
87	2657-2664	Species	denotes	patient	Tax:9606
102	3944-3946	Gene	denotes	of	Gene:6688
103	2947-2949	Gene	denotes	of	Gene:6688
104	2826-2828	Gene	denotes	of	Gene:6688
105	2774-2776	Gene	denotes	of	Gene:6688
106	2914-2920	Species	denotes	people	Tax:9606
107	3650-3658	Species	denotes	patients	Tax:9606
108	2710-2721	Disease	denotes	weight loss	MESH:D015431
109	2977-2988	Disease	denotes	weight loss	MESH:D015431
110	3094-3105	Disease	denotes	weight loss	MESH:D015431
111	3515-3522	Disease	denotes	fitness	MESH:D012640
112	3524-3535	Disease	denotes	weight loss	MESH:D015431
113	3857-3864	Disease	denotes	fitness	MESH:D012640
114	4028-4039	Disease	denotes	weight loss	MESH:D015431
115	4060-4068	Disease	denotes	diabetic	MESH:D003920
117	4132-4134	Gene	denotes	of	Gene:6688
135	5518-5520	Gene	denotes	of	Gene:6688
136	4944-4946	Gene	denotes	of	Gene:6688
137	4632-4634	Gene	denotes	of	Gene:6688
138	4391-4393	Gene	denotes	of	Gene:6688
139	4243-4245	Gene	denotes	of	Gene:6688
140	4184-4186	Gene	denotes	of	Gene:6688
141	5335-5341	Species	denotes	people	Tax:9606
142	5636-5641	Species	denotes	Apple	Tax:3750
143	4351-4358	Disease	denotes	fitness	MESH:D012640
144	4433-4440	Disease	denotes	fitness	MESH:D012640
145	4542-4559	Disease	denotes	weight loss goals	MESH:D015431
146	4794-4800	Disease	denotes	stress	MESH:D000079225
147	5053-5060	Disease	denotes	fitness	MESH:D012640
148	5065-5076	Disease	denotes	weight loss	MESH:D015431
149	5131-5141	Disease	denotes	enthusiasm
150	5247-5275	Disease	denotes	fitness startups and fitness	MESH:D012640
151	5605-5612	Disease	denotes	fitness	MESH:D012640
160	5797-5805	Species	denotes	patients	Tax:9606
161	5983-5988	Species	denotes	Apple	Tax:3750
162	6182-6187	Species	denotes	Apple	Tax:3750
163	6282-6287	Species	denotes	Apple	Tax:3750
164	6288-6293	Species	denotes	Women	Tax:9606
165	6314-6319	Species	denotes	Apple	Tax:3750
166	6354-6359	Species	denotes	Apple	Tax:3750
167	6553-6558	Species	denotes	Apple	Tax:3750
205	12258-12262	Gene	denotes	Calm	Gene:9892
206	12928-12930	Gene	denotes	of	Gene:6688
207	12787-12789	Gene	denotes	of	Gene:6688
208	12374-12376	Gene	denotes	of	Gene:6688
209	11748-11750	Gene	denotes	of	Gene:6688
210	11376-11378	Gene	denotes	of	Gene:6688
211	11136-11138	Gene	denotes	of	Gene:6688
212	10541-10543	Gene	denotes	of	Gene:6688
213	10215-10217	Gene	denotes	of	Gene:6688
214	8861-8863	Gene	denotes	of	Gene:6688
215	8618-8620	Gene	denotes	of	Gene:6688
216	7776-7778	Gene	denotes	of	Gene:6688
217	7691-7693	Gene	denotes	of	Gene:6688
218	12556-12560	Gene	denotes	Calm	Gene:9892
219	12377-12381	Gene	denotes	Calm	Gene:9892
220	7669-7675	Species	denotes	people	Tax:9606
221	10615-10623	Species	denotes	Children	Tax:9606
222	10653-10661	Species	denotes	Children	Tax:9606
223	8934-8940	Chemical	denotes	Fitbit
224	7832-7839	Disease	denotes	fitness	MESH:D012640
225	7935-7942	Disease	denotes	fitness	MESH:D012640
226	8503-8522	Disease	denotes	Peloton Digital iOS	MESH:C567857
227	8677-8686	Disease	denotes	Coach iOS	MESH:C536430
228	8828-8844	Disease	denotes	fitness feedback	MESH:D012640
229	8964-8972	Disease	denotes	Club iOS	MESH:C567857
230	9551-9558	Disease	denotes	fitness	MESH:D012640
231	9776-9786	Disease	denotes	Strava iOS	MESH:C567857
232	10067-10078	Disease	denotes	Fitness iOS	MESH:C567857
233	10185-10200	Disease	denotes	fitness journey	MESH:D012640
234	10367-10374	Disease	denotes	fitness	MESH:D012640
235	10717-10733	Disease	denotes	MyFitnessPal iOS	MESH:C567857
236	11290-11301	Disease	denotes	weight loss	MESH:D015431
237	11585-11592	Disease	denotes	fitness	MESH:D012640
238	12025-12036	Disease	denotes	weight loss	MESH:D015431
239	12764-12767	Disease	denotes	SOS	MESH:D006504
240	12931-12939	Disease	denotes	COVID-19	MESH:C000657245
241	13234-13240	Disease	denotes	stress	MESH:D000079225
243	7407-7414	Disease	denotes	fitness	MESH:D012640
248	13451-13453	Gene	denotes	of	Gene:6688
249	13348-13350	Gene	denotes	of	Gene:6688
250	13324-13326	Gene	denotes	of	Gene:6688
251	13351-13358	Disease	denotes	fitness	MESH:D012640
259	7321-7323	Gene	denotes	of	Gene:6688
260	7262-7264	Gene	denotes	of	Gene:6688
261	7025-7032	Disease	denotes	fitness	MESH:D012640
262	7152-7163	Disease	denotes	weight loss	MESH:D015431
263	7168-7176	Disease	denotes	diabetes	MESH:D003920
264	7286-7302	Disease	denotes	wellness coaches	MESH:C536430
265	7337-7344	Disease	denotes	fitness	MESH:D012640
276	14804-14806	Gene	denotes	of	Gene:6688
277	13590-13598	Species	denotes	patients	Tax:9606
278	13783-13790	Species	denotes	patient	Tax:9606
279	14192-14199	Species	denotes	patient	Tax:9606
280	14216-14223	Species	denotes	patient	Tax:9606
281	14353-14361	Species	denotes	patients	Tax:9606
282	14487-14495	Species	denotes	patients	Tax:9606
283	14532-14539	Species	denotes	patient	Tax:9606
284	14673-14680	Species	denotes	patient	Tax:9606
285	14116-14133	Disease	denotes	fitness education	MESH:D012640
327	17375-17377	Gene	denotes	of	Gene:6688
328	17188-17190	Gene	denotes	of	Gene:6688
329	16747-16749	Gene	denotes	of	Gene:6688
330	16549-16551	Gene	denotes	of	Gene:6688
331	16029-16031	Gene	denotes	of	Gene:6688
332	15946-15948	Gene	denotes	of	Gene:6688
333	15206-15208	Gene	denotes	of	Gene:6688
334	15129-15131	Gene	denotes	of	Gene:6688
335	15023-15025	Gene	denotes	of	Gene:6688
336	14924-14926	Gene	denotes	of	Gene:6688
337	15331-15336	Species	denotes	women	Tax:9606
338	15744-15751	Species	denotes	patient	Tax:9606
339	16157-16164	Species	denotes	Patient	Tax:9606
340	16655-16663	Species	denotes	children	Tax:9606
341	17138-17146	Species	denotes	children	Tax:9606
342	17195-17202	Species	denotes	patient	Tax:9606
343	17484-17491	Species	denotes	patient	Tax:9606
344	15209-15215	Chemical	denotes	Fitbit
345	16391-16397	Chemical	denotes	Fitbit
346	14940-14947	Disease	denotes	fitness	MESH:D012640
347	15052-15074	Disease	denotes	cardiovascular disease	MESH:D002318
348	15076-15084	Disease	denotes	diabetes	MESH:D003920
349	15090-15096	Disease	denotes	cancer	MESH:D009369
350	15118-15124	Disease	denotes	asthma	MESH:D001249
351	15157-15163	Disease	denotes	asthma	MESH:D001249
352	15342-15348	Disease	denotes	asthma	MESH:D001249
353	15778-15784	Disease	denotes	asthma	MESH:D001249
354	15797-15803	Disease	denotes	asthma	MESH:D001249
355	15888-15894	Disease	denotes	asthma	MESH:D001249
356	16084-16090	Disease	denotes	asthma	MESH:D001249
357	16223-16240	Disease	denotes	sleep disturbance	MESH:D012893
358	16339-16345	Disease	denotes	asthma	MESH:D001249
359	16473-16479	Disease	denotes	asthma	MESH:D001249
360	16622-16628	Disease	denotes	asthma	MESH:D001249
361	16750-16756	Disease	denotes	asthma	MESH:D001249
362	16969-16975	Disease	denotes	asthma	MESH:D001249
363	17023-17029	Disease	denotes	asthma	MESH:D001249
364	17152-17158	Disease	denotes	asthma	MESH:D001249
365	17205-17211	Disease	denotes	asthma	MESH:D001249
366	17378-17384	Disease	denotes	asthma	MESH:D001249
367	17494-17509	Disease	denotes	asthma symptoms	MESH:D051271
380	18232-18234	Gene	denotes	of	Gene:6688
381	18201-18203	Gene	denotes	of	Gene:6688
382	18139-18141	Gene	denotes	of	Gene:6688
383	17590-17592	Gene	denotes	of	Gene:6688
384	17688-17693	Species	denotes	human	Tax:9606
385	17979-17987	Species	denotes	children	Tax:9606
386	18061-18069	Species	denotes	children	Tax:9606
387	17635-17641	Disease	denotes	asthma	MESH:D001249
388	17805-17811	Disease	denotes	asthma	MESH:D001249
389	17821-17826	Disease	denotes	cough	MESH:D003371
390	17993-17999	Disease	denotes	asthma	MESH:D001249
391	18102-18108	Disease	denotes	asthma	MESH:D001249
393	18361-18363	Gene	denotes	of	Gene:6688
424	22343-22345	Gene	denotes	of	Gene:6688
425	22332-22334	Gene	denotes	of	Gene:6688
426	22324-22326	Gene	denotes	of	Gene:6688
427	22173-22175	Gene	denotes	of	Gene:6688
428	21971-21973	Gene	denotes	of	Gene:6688
429	21693-21695	Gene	denotes	of	Gene:6688
430	21661-21663	Gene	denotes	of	Gene:6688
431	21284-21286	Gene	denotes	of	Gene:6688
432	21037-21039	Gene	denotes	of	Gene:6688
433	20891-20893	Gene	denotes	of	Gene:6688
434	20719-20721	Gene	denotes	of	Gene:6688
435	20665-20667	Gene	denotes	of	Gene:6688
436	20503-20505	Gene	denotes	of	Gene:6688
437	19459-19464	Species	denotes	Apple	Tax:3750
438	19950-19955	Species	denotes	Apple	Tax:3750
439	20221-20226	Species	denotes	Apple	Tax:3750
440	20308-20315	Species	denotes	patient	Tax:9606
441	20380-20387	Species	denotes	patient	Tax:9606
442	21262-21269	Species	denotes	patient	Tax:9606
443	21502-21510	Species	denotes	patients	Tax:9606
444	21868-21876	Species	denotes	patients	Tax:9606
445	19403-19409	Disease	denotes	asthma	MESH:D001249
446	19907-19913	Disease	denotes	asthma	MESH:D001249
447	20133-20148	Disease	denotes	asthma symptoms	MESH:D051271
448	20172-20178	Disease	denotes	asthma	MESH:D001249
449	20811-20826	Disease	denotes	asthma symptoms	MESH:D051271
450	21081-21087	Disease	denotes	asthma	MESH:D001249
451	21528-21534	Disease	denotes	asthma	MESH:D001249
452	22038-22044	Disease	denotes	asthma	MESH:D001249
453	22100-22106	Disease	denotes	asthma	MESH:D001249
455	19364-19370	Disease	denotes	asthma	MESH:D001249
467	19234-19236	Gene	denotes	of	Gene:6688
468	19226-19228	Gene	denotes	of	Gene:6688
469	18771-18773	Gene	denotes	of	Gene:6688
470	18570-18572	Gene	denotes	of	Gene:6688
471	18536-18543	Species	denotes	patient	Tax:9606
472	19000-19007	Species	denotes	patient	Tax:9606
473	18435-18439	Disease	denotes	EMDs
474	18444-18450	Disease	denotes	asthma	MESH:D001249
475	18597-18601	Disease	denotes	EMDs
476	18708-18714	Disease	denotes	asthma	MESH:D001249
477	19282-19288	Disease	denotes	asthma	MESH:D001249
496	23643-23645	Gene	denotes	of	Gene:6688
497	23571-23573	Gene	denotes	of	Gene:6688
498	23516-23518	Gene	denotes	of	Gene:6688
499	23467-23469	Gene	denotes	of	Gene:6688
500	23408-23410	Gene	denotes	of	Gene:6688
501	23049-23051	Gene	denotes	of	Gene:6688
502	23012-23019	Species	denotes	patient	Tax:9606
503	22462-22478	Chemical	denotes	Teva’s Digihaler
504	22524-22541	Chemical	denotes	albuterol sulfate	MESH:D000420
505	22552-22558	Chemical	denotes	AirDuo
506	22561-22583	Chemical	denotes	fluticasone propionate	MESH:D000068298
507	22588-22598	Chemical	denotes	salmeterol	MESH:D000068299
508	22605-22613	Chemical	denotes	ArmonAir
509	22616-22638	Chemical	denotes	fluticasone propionate	MESH:D000068298
510	23052-23062	Chemical	denotes	Digihalers
511	23470-23479	Chemical	denotes	albuterol	MESH:D000420
512	23187-23193	Disease	denotes	asthma	MESH:D001249
513	23281-23287	Disease	denotes	asthma	MESH:D001249
533	25030-25032	Gene	denotes	of	Gene:6688
534	24658-24660	Gene	denotes	of	Gene:6688
535	24571-24573	Gene	denotes	of	Gene:6688
536	24305-24307	Gene	denotes	of	Gene:6688
537	23910-23912	Gene	denotes	of	Gene:6688
538	23884-23886	Gene	denotes	of	Gene:6688
539	24453-24465	Species	denotes	participants	Tax:9606
540	24665-24673	Species	denotes	patients	Tax:9606
541	24679-24687	Species	denotes	patients	Tax:9606
542	24936-24944	Species	denotes	patients	Tax:9606
543	25037-25049	Species	denotes	participants	Tax:9606
544	25271-25278	Species	denotes	patient	Tax:9606
545	25370-25378	Species	denotes	patients	Tax:9606
546	24153-24168	Disease	denotes	asthma symptoms	MESH:D051271
547	24488-24494	Disease	denotes	asthma	MESH:D001249
548	24531-24546	Disease	denotes	asthma symptoms	MESH:D051271
549	24963-24969	Disease	denotes	asthma	MESH:D001249
550	25298-25304	Disease	denotes	asthma	MESH:D001249
551	25591-25597	Disease	denotes	asthma	MESH:D001249
566	26790-26792	Gene	denotes	of	Gene:6688
567	26649-26651	Gene	denotes	of	Gene:6688
568	26566-26568	Gene	denotes	of	Gene:6688
569	26032-26034	Gene	denotes	of	Gene:6688
570	26000-26002	Gene	denotes	of	Gene:6688
571	25739-25741	Gene	denotes	of	Gene:6688
572	25936-25943	Species	denotes	patient	Tax:9606
573	26124-26131	Species	denotes	patient	Tax:9606
574	26584-26592	Species	denotes	children	Tax:9606
575	25805-25807	Disease	denotes	AV	MESH:D054537
576	26598-26604	Disease	denotes	asthma	MESH:D001249
577	26767-26773	Disease	denotes	asthma	MESH:D001249
578	26864-26870	Disease	denotes	asthma	MESH:D001249
579	26886-26892	Disease	denotes	asthma	MESH:D001249
589	27789-27791	Gene	denotes	of	Gene:6688
590	27713-27715	Gene	denotes	of	Gene:6688
591	27602-27604	Gene	denotes	of	Gene:6688
592	27460-27462	Gene	denotes	of	Gene:6688
593	27023-27025	Gene	denotes	of	Gene:6688
594	27467-27473	Species	denotes	people	Tax:9606
595	27716-27728	Species	denotes	participants	Tax:9606
596	27479-27516	Disease	denotes	chronic obstructive pulmonary disease	MESH:D029424
597	28043-28049	Disease	denotes	asthma	MESH:D001249
607	28525-28527	Gene	denotes	of	Gene:6688
608	28095-28100	Species	denotes	Apple	Tax:3750
609	28187-28195	Species	denotes	children	Tax:9606
610	28453-28460	Species	denotes	patient	Tax:9606
611	28168-28183	Disease	denotes	asthma symptoms	MESH:D051271
612	28365-28371	Disease	denotes	asthma	MESH:D001249
613	28534-28540	Disease	denotes	asthma	MESH:D001249
614	28587-28593	Disease	denotes	asthma	MESH:D001249
615	28652-28658	Disease	denotes	asthma	MESH:D001249
617	28799-28801	Gene	denotes	of	Gene:6688
627	29289-29291	Gene	denotes	of	Gene:6688
628	28954-28956	Gene	denotes	of	Gene:6688
629	28858-28860	Gene	denotes	of	Gene:6688
630	29252-29257	Species	denotes	Apple	Tax:3750
631	29354-29362	Species	denotes	patients	Tax:9606
632	29651-29659	Species	denotes	patients	Tax:9606
633	28957-28963	Disease	denotes	asthma	MESH:D001249
634	29190-29196	Disease	denotes	asthma	MESH:D001249
635	29665-29671	Disease	denotes	asthma	MESH:D001249
652	30640-30642	Gene	denotes	of	Gene:6688
653	30409-30411	Gene	denotes	of	Gene:6688
654	30143-30145	Gene	denotes	of	Gene:6688
655	30060-30062	Gene	denotes	of	Gene:6688
656	29990-29992	Gene	denotes	of	Gene:6688
657	29698-29700	Gene	denotes	of	Gene:6688
658	29737-29743	Disease	denotes	asthma	MESH:D001249
659	29875-29881	Disease	denotes	asthma	MESH:D001249
660	30005-30011	Disease	denotes	asthma	MESH:D001249
661	30029-30035	Disease	denotes	asthma	MESH:D001249
662	30045-30051	Disease	denotes	asthma	MESH:D001249
663	30167-30173	Disease	denotes	asthma	MESH:D001249
664	30206-30212	Disease	denotes	asthma	MESH:D001249
665	30267-30273	Disease	denotes	asthma	MESH:D001249
666	30473-30479	Disease	denotes	asthma	MESH:D001249
667	30566-30572	Disease	denotes	asthma	MESH:D001249
682	32516-32518	Gene	denotes	of	Gene:6688
683	30985-30987	Gene	denotes	of	Gene:6688
684	30878-30880	Gene	denotes	of	Gene:6688
685	30802-30804	Gene	denotes	of	Gene:6688
686	31099-31104	Species	denotes	Apple	Tax:3750
687	32172-32180	Species	denotes	patients	Tax:9606
688	30805-30811	Disease	denotes	asthma	MESH:D001249
689	30851-30857	Disease	denotes	asthma	MESH:D001249
690	30996-31002	Disease	denotes	asthma	MESH:D001249
691	31876-31884	Disease	denotes	myAsthma
692	32101-32109	Disease	denotes	myAsthma
693	32302-32308	Disease	denotes	asthma	MESH:D001249
694	32439-32447	Disease	denotes	myAsthma
695	32469-32475	Disease	denotes	asthma	MESH:D001249
710	33149-33151	Gene	denotes	of	Gene:6688
711	33040-33042	Gene	denotes	of	Gene:6688
712	32953-32955	Gene	denotes	of	Gene:6688
713	32942-32944	Gene	denotes	of	Gene:6688
714	32934-32936	Gene	denotes	of	Gene:6688
715	32679-32681	Gene	denotes	of	Gene:6688
716	32639-32641	Gene	denotes	of	Gene:6688
717	32857-32865	Species	denotes	patients	Tax:9606
718	32979-32987	Species	denotes	patients	Tax:9606
719	33422-33430	Species	denotes	patients	Tax:9606
720	32658-32664	Disease	denotes	asthma	MESH:D001249
721	32705-32711	Disease	denotes	asthma	MESH:D001249
722	33300-33306	Disease	denotes	asthma	MESH:D001249
723	33415-33421	Disease	denotes	asthma	MESH:D001249
725	33456-33458	Gene	denotes	of	Gene:6688
749	35346-35348	Gene	denotes	of	Gene:6688
750	35030-35032	Gene	denotes	of	Gene:6688
751	34950-34952	Gene	denotes	of	Gene:6688
752	34493-34495	Gene	denotes	of	Gene:6688
753	34460-34462	Gene	denotes	of	Gene:6688
754	34188-34190	Gene	denotes	of	Gene:6688
755	34045-34047	Gene	denotes	of	Gene:6688
756	33952-33954	Gene	denotes	of	Gene:6688
757	33876-33878	Gene	denotes	of	Gene:6688
758	33805-33807	Gene	denotes	of	Gene:6688
759	33688-33690	Gene	denotes	of	Gene:6688
760	33567-33569	Gene	denotes	of	Gene:6688
761	33546-33548	Gene	denotes	of	Gene:6688
762	33654-33662	Species	denotes	patients	Tax:9606
763	34415-34423	Species	denotes	patients	Tax:9606
764	34567-34575	Species	denotes	patients	Tax:9606
765	34800-34807	Species	denotes	patient	Tax:9606
766	34982-34990	Species	denotes	patients	Tax:9606
767	35155-35163	Species	denotes	patients	Tax:9606
768	34109-34115	Chemical	denotes	oxygen	MESH:D010100
769	34886-34892	Disease	denotes	asthma	MESH:D001249
770	34910-34926	Disease	denotes	chronic diseases	MESH:D002908
771	35249-35256	Disease	denotes	fitness	MESH:D012640

LitCovid-PD-FMA-UBERON

Id	Subject	Object	Predicate	Lexical cue	fma_id
T1	4607-4610	Body_part	denotes	arm	http://purl.org/sig/ont/fma/fma24890
T2	4746-4751	Body_part	denotes	heart	http://purl.org/sig/ont/fma/fma7088
T3	4758-4762	Body_part	denotes	body	http://purl.org/sig/ont/fma/fma256135
T4	6320-6325	Body_part	denotes	Heart	http://purl.org/sig/ont/fma/fma7088
T5	10060-10063	Body_part	denotes	Map	http://purl.org/sig/ont/fma/fma67847
T6	11084-11088	Body_part	denotes	body	http://purl.org/sig/ont/fma/fma256135
T7	13259-13263	Body_part	denotes	body	http://purl.org/sig/ont/fma/fma256135
T8	17694-17698	Body_part	denotes	skin	http://purl.org/sig/ont/fma/fma7163
T9	17839-17844	Body_part	denotes	chest	http://purl.org/sig/ont/fma/fma9576
T10	18204-18208	Body_part	denotes	lung	http://purl.org/sig/ont/fma/fma7195
T11	19480-19485	Body_part	denotes	heart	http://purl.org/sig/ont/fma/fma7088
T12	19651-19656	Body_part	denotes	heart	http://purl.org/sig/ont/fma/fma7088
T13	20115-20119	Body_part	denotes	lung	http://purl.org/sig/ont/fma/fma7195
T14	22132-22136	Body_part	denotes	lung	http://purl.org/sig/ont/fma/fma7195
T15	24902-24905	Body_part	denotes	arm	http://purl.org/sig/ont/fma/fma24890
T16	30598-30602	Body_part	denotes	lung	http://purl.org/sig/ont/fma/fma7195
T17	34048-34052	Body_part	denotes	body	http://purl.org/sig/ont/fma/fma256135
T18	34073-34078	Body_part	denotes	heart	http://purl.org/sig/ont/fma/fma7088
T19	34085-34089	Body_part	denotes	skin	http://purl.org/sig/ont/fma/fma7163
T20	34103-34108	Body_part	denotes	blood	http://purl.org/sig/ont/fma/fma9670

LitCovid-PD-UBERON

Id	Subject	Object	Predicate	Lexical cue	uberon_id
T1	2793-2798	Body_part	denotes	scale	http://purl.obolibrary.org/obo/UBERON_0002542
T2	4607-4610	Body_part	denotes	arm	http://purl.obolibrary.org/obo/UBERON_0001460
T3	4746-4751	Body_part	denotes	heart	http://purl.obolibrary.org/obo/UBERON_0000948
T4	6320-6325	Body_part	denotes	Heart	http://purl.obolibrary.org/obo/UBERON_0000948
T5	8227-8231	Body_part	denotes	feet	http://purl.obolibrary.org/obo/UBERON_0002387
T6	17694-17698	Body_part	denotes	skin	http://purl.obolibrary.org/obo/UBERON_0000014
T7	17839-17844	Body_part	denotes	chest	http://purl.obolibrary.org/obo/UBERON_0001443
T8	18204-18208	Body_part	denotes	lung	http://purl.obolibrary.org/obo/UBERON_0002048
T9	19480-19485	Body_part	denotes	heart	http://purl.obolibrary.org/obo/UBERON_0000948
T10	19651-19656	Body_part	denotes	heart	http://purl.obolibrary.org/obo/UBERON_0000948
T11	20115-20119	Body_part	denotes	lung	http://purl.obolibrary.org/obo/UBERON_0002048
T12	22132-22136	Body_part	denotes	lung	http://purl.obolibrary.org/obo/UBERON_0002048
T13	24902-24905	Body_part	denotes	arm	http://purl.obolibrary.org/obo/UBERON_0001460
T14	30598-30602	Body_part	denotes	lung	http://purl.obolibrary.org/obo/UBERON_0002048
T15	31461-31466	Body_part	denotes	Scale	http://purl.obolibrary.org/obo/UBERON_0002542
T16	34073-34078	Body_part	denotes	heart	http://purl.obolibrary.org/obo/UBERON_0000948
T17	34085-34089	Body_part	denotes	skin	http://purl.obolibrary.org/obo/UBERON_0000014
T18	34103-34108	Body_part	denotes	blood	http://purl.obolibrary.org/obo/UBERON_0000178

LitCovid-PD-MONDO

Id	Subject	Object	Predicate	Lexical cue	mondo_id
T5	65-73	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T6	256-259	Disease	denotes	flu	http://purl.obolibrary.org/obo/MONDO_0005812
T7	548-556	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T8	748-751	Disease	denotes	CMS	http://purl.obolibrary.org/obo/MONDO_0018940
T9	1584-1590	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T10	1592-1596	Disease	denotes	COPD	http://purl.obolibrary.org/obo/MONDO_0005002
T11	1598-1606	Disease	denotes	diabetes	http://purl.obolibrary.org/obo/MONDO_0005015
T12	1612-1634	Disease	denotes	cardiovascular disease	http://purl.obolibrary.org/obo/MONDO_0004995
T13	1697-1703	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T14	7168-7176	Disease	denotes	diabetes	http://purl.obolibrary.org/obo/MONDO_0005015
T15	9962-9965	Disease	denotes	GPS	http://purl.obolibrary.org/obo/MONDO_0007686
T16	10133-10136	Disease	denotes	MVP	http://purl.obolibrary.org/obo/MONDO_0008004
T17	12764-12767	Disease	denotes	SOS	http://purl.obolibrary.org/obo/MONDO_0011604
T18	12931-12939	Disease	denotes	COVID-19	http://purl.obolibrary.org/obo/MONDO_0100096
T19	14912-14918	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T20	15052-15074	Disease	denotes	cardiovascular disease	http://purl.obolibrary.org/obo/MONDO_0004995
T21	15076-15084	Disease	denotes	diabetes	http://purl.obolibrary.org/obo/MONDO_0005015
T22	15090-15096	Disease	denotes	cancer	http://purl.obolibrary.org/obo/MONDO_0004992
T23	15118-15124	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T24	15157-15163	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T25	15342-15348	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T26	15778-15784	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T27	15797-15803	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T28	15888-15894	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T29	16084-16090	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T30	16223-16240	Disease	denotes	sleep disturbance	http://purl.obolibrary.org/obo/MONDO_0003406
T31	16329-16345	Disease	denotes	pediatric asthma	http://purl.obolibrary.org/obo/MONDO_0005405
T32	16339-16345	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T33	16463-16479	Disease	denotes	pediatric asthma	http://purl.obolibrary.org/obo/MONDO_0005405
T34	16473-16479	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T35	16622-16628	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T36	16750-16756	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T37	16969-16975	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T38	17023-17029	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T39	17152-17158	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T40	17205-17211	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T41	17262-17268	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T42	17378-17384	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T43	17494-17500	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T44	17635-17641	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T45	17805-17811	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T46	17993-17999	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T47	18102-18108	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T48	18397-18403	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T49	18444-18450	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T50	18708-18714	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T51	19164-19167	Disease	denotes	GPS	http://purl.obolibrary.org/obo/MONDO_0007686
T52	19282-19288	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T53	19364-19370	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T54	19403-19409	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T55	19897-19913	Disease	denotes	pediatric asthma	http://purl.obolibrary.org/obo/MONDO_0005405
T56	19907-19913	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T57	20133-20139	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T58	20172-20178	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T59	20682-20688	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T60	20746-20749	Disease	denotes	GPS	http://purl.obolibrary.org/obo/MONDO_0007686
T61	20811-20817	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T62	21081-21087	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T63	21528-21534	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T64	21977-21983	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T65	22038-22044	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T66	22100-22106	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T67	23187-23193	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T68	23281-23287	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T69	23813-23819	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T70	23984-23990	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T71	24050-24053	Disease	denotes	GPS	http://purl.obolibrary.org/obo/MONDO_0007686
T72	24103-24109	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T73	24153-24159	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T74	24488-24494	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T75	24531-24537	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T76	24963-24969	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T77	25298-25304	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T78	25591-25597	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T79	26598-26604	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T80	26767-26773	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T81	26864-26870	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T82	26886-26892	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T83	27479-27516	Disease	denotes	chronic obstructive pulmonary disease	http://purl.obolibrary.org/obo/MONDO_0005002
T84	27499-27516	Disease	denotes	pulmonary disease	http://purl.obolibrary.org/obo/MONDO_0005275
T85	28043-28049	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T86	28168-28174	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T87	28365-28371	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T88	28534-28540	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T89	28587-28593	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T90	28652-28658	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T91	28817-28823	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T92	28957-28963	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T93	29190-29196	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T94	29665-29671	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T95	29737-29743	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T96	29875-29881	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T97	30005-30011	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T98	30029-30035	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T99	30045-30051	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T100	30167-30173	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T101	30206-30212	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T102	30267-30273	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T103	30473-30479	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T104	30566-30572	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T105	30805-30811	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T106	30851-30857	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T107	30996-31002	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T108	32070-32076	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T109	32133-32139	Disease	denotes	Asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T110	32302-32308	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T111	32469-32475	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T112	32658-32664	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T113	32705-32711	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T114	33300-33306	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T115	33415-33421	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979
T116	34886-34892	Disease	denotes	asthma	http://purl.obolibrary.org/obo/MONDO_0004979

LitCovid-PD-CLO

Id	Subject	Object	Predicate	Lexical cue
T11	26-29	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T12	184-185	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T13	623-624	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T14	638-645	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focused
T15	662-663	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T16	1059-1066	http://purl.obolibrary.org/obo/UBERON_0000473	denotes	testing
T17	1336-1343	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T18	1403-1414	http://purl.obolibrary.org/obo/BFO_0000030	denotes	objectively
T19	1447-1454	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T20	1640-1645	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focus
T21	1685-1692	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T22	1765-1772	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T23	1800-1801	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T24	1993-1994	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T25	2154-2155	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T26	2221-2222	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T27	2288-2289	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T28	2314-2321	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digital
T29	2580-2585	http://purl.obolibrary.org/obo/CLO_0008416	denotes	peers
T30	2580-2585	http://purl.obolibrary.org/obo/CLO_0050081	denotes	peers
T31	2922-2923	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T32	3235-3240	http://purl.obolibrary.org/obo/CLO_0001236	denotes	2]. A
T33	3598-3606	http://purl.obolibrary.org/obo/CLO_0001658	denotes	actively
T34	3616-3617	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T35	3675-3682	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T36	4111-4113	http://purl.obolibrary.org/obo/CLO_0053733	denotes	11
T37	4144-4151	http://purl.obolibrary.org/obo/OBI_0000968	denotes	Devices
T38	4153-4161	http://purl.obolibrary.org/obo/CLO_0001658	denotes	Activity
T39	4296-4297	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T40	4323-4324	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T41	4599-4606	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T42	4607-4610	http://www.ebi.ac.uk/efo/EFO_0001410	denotes	arm
T43	4641-4649	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T44	4746-4751	http://purl.obolibrary.org/obo/UBERON_0000948	denotes	heart
T45	4746-4751	http://purl.obolibrary.org/obo/UBERON_0007100	denotes	heart
T46	4746-4751	http://purl.obolibrary.org/obo/UBERON_0015228	denotes	heart
T47	4746-4751	http://www.ebi.ac.uk/efo/EFO_0000815	denotes	heart
T48	4763-4766	http://purl.obolibrary.org/obo/UBERON_0001013	denotes	fat
T49	5182-5185	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T50	5301-5309	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focusing
T51	5541-5548	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T52	5549-5552	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T53	5594-5595	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T54	5698-5699	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T55	5701-5703	http://purl.obolibrary.org/obo/CLO_0050509	denotes	27
T56	5740-5747	http://purl.obolibrary.org/obo/OBI_0000968	denotes	Devices
T57	5819-5826	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T58	5920-5921	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T59	6042-6050	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T60	6320-6325	http://purl.obolibrary.org/obo/UBERON_0000948	denotes	Heart
T61	6320-6325	http://purl.obolibrary.org/obo/UBERON_0007100	denotes	Heart
T62	6320-6325	http://purl.obolibrary.org/obo/UBERON_0015228	denotes	Heart
T63	6320-6325	http://www.ebi.ac.uk/efo/EFO_0000815	denotes	Heart
T64	6470-6482	http://purl.obolibrary.org/obo/OBI_0000245	denotes	Organization
T65	6579-6580	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T66	6702-6709	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T67	6883-6890	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T68	7081-7082	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T69	7206-7207	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T70	7304-7305	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T71	7449-7456	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T72	7685-7686	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T73	7948-7951	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T74	8272-8275	http://purl.obolibrary.org/obo/CLO_0051582	denotes	Has
T75	8293-8302	http://purl.obolibrary.org/obo/OBI_0000245	denotes	organized
T76	8403-8405	http://purl.obolibrary.org/obo/CLO_0050510	denotes	18
T77	8511-8518	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	Digital
T78	8632-8636	http://purl.obolibrary.org/obo/CLO_0053428	denotes	camp
T79	8774-8782	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T80	9037-9040	http://purl.obolibrary.org/obo/CLO_0051582	denotes	Has
T81	9107-9109	http://purl.obolibrary.org/obo/CLO_0053799	denotes	45
T82	9132-9133	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T83	9421-9424	http://purl.obolibrary.org/obo/CLO_0001755	denotes	ask
T84	9549-9550	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T85	10043-10044	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T86	10064-10066	http://purl.obolibrary.org/obo/CLO_0050475	denotes	My
T87	10183-10184	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T88	10202-10205	http://purl.obolibrary.org/obo/CLO_0051582	denotes	Has
T89	10218-10228	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activities
T90	10311-10312	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T91	10318-10324	http://purl.obolibrary.org/obo/CLO_0001658	denotes	active
T92	10531-10532	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T93	10554-10567	http://purl.obolibrary.org/obo/OBI_0000245	denotes	organizations
T94	10596-10604	http://purl.obolibrary.org/obo/NCBITaxon_9606	denotes	Humanity
T95	10606-10608	http://purl.obolibrary.org/obo/CLO_0009141	denotes	St
T96	10606-10608	http://purl.obolibrary.org/obo/CLO_0050980	denotes	St
T97	10969-10979	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activities
T98	11044-11047	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T99	11111-11114	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T100	11342-11343	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T101	11725-11726	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T102	11832-11839	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	Digital
T103	11962-11969	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focuses
T104	12094-12095	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T105	12224-12227	http://purl.obolibrary.org/obo/UBERON_0001013	denotes	fat
T106	12364-12368	http://purl.obolibrary.org/obo/CLO_0001608	denotes	a “7
T107	12547-12548	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T108	13023-13024	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T109	13275-13280	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focus
T110	13537-13544	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T111	14164-14170	http://purl.obolibrary.org/obo/CLO_0001658	denotes	active
T112	14214-14215	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T113	14279-14286	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T114	14407-14408	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T115	14512-14513	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T116	14649-14650	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T117	14738-14745	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T118	14901-14908	http://purl.obolibrary.org/obo/OBI_0000968	denotes	Devices
T119	14948-14954	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T120	14972-14975	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T121	14976-14983	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focused
T122	15035-15043	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T123	15107-15114	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focused
T124	15350-15352	http://purl.obolibrary.org/obo/CLO_0050510	denotes	18
T125	15437-15438	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T126	15464-15470	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T127	15518-15524	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T128	15688-15695	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focused
T129	15816-15818	http://purl.obolibrary.org/obo/CLO_0050507	denotes	22
T130	15996-16004	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T131	16054-16062	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T132	16278-16279	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T133	16415-16423	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T134	16584-16590	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T135	16776-16784	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T136	16926-16927	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T137	17077-17079	http://purl.obolibrary.org/obo/CLO_0050507	denotes	22
T138	17118-17127	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digitally
T139	17171-17172	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T140	17277-17281	http://purl.obolibrary.org/obo/UBERON_0000473	denotes	Test
T141	17482-17483	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T142	17602-17609	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T143	17615-17618	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T144	17688-17693	http://purl.obolibrary.org/obo/NCBITaxon_9606	denotes	human
T145	17694-17698	http://purl.obolibrary.org/obo/UBERON_0000014	denotes	skin
T146	17694-17698	http://purl.obolibrary.org/obo/UBERON_0001003	denotes	skin
T147	17694-17698	http://purl.obolibrary.org/obo/UBERON_0002097	denotes	skin
T148	17694-17698	http://purl.obolibrary.org/obo/UBERON_0002199	denotes	skin
T149	17694-17698	http://www.ebi.ac.uk/efo/EFO_0000962	denotes	skin
T150	17839-17844	http://www.ebi.ac.uk/efo/EFO_0000965	denotes	chest
T151	17854-17861	http://purl.obolibrary.org/obo/SO_0000418	denotes	signals
T152	17916-17922	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T153	18204-18208	http://purl.obolibrary.org/obo/UBERON_0002048	denotes	lung
T154	18204-18208	http://www.ebi.ac.uk/efo/EFO_0000934	denotes	lung
T155	18288-18289	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T156	18301-18306	http://purl.obolibrary.org/obo/UBERON_0007688	denotes	field
T157	18386-18393	http://purl.obolibrary.org/obo/OBI_0000968	denotes	Devices
T158	18426-18433	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T159	18499-18508	http://purl.obolibrary.org/obo/BFO_0000030	denotes	objective
T160	18602-18607	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focus
T161	18649-18650	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T162	18663-18671	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focusing
T163	18729-18736	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T164	18761-18762	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T165	18912-18919	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T166	19216-19217	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T167	19480-19485	http://purl.obolibrary.org/obo/UBERON_0000948	denotes	heart
T168	19480-19485	http://purl.obolibrary.org/obo/UBERON_0007100	denotes	heart
T169	19480-19485	http://purl.obolibrary.org/obo/UBERON_0015228	denotes	heart
T170	19480-19485	http://www.ebi.ac.uk/efo/EFO_0000815	denotes	heart
T171	19551-19559	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T172	19651-19656	http://purl.obolibrary.org/obo/UBERON_0000948	denotes	heart
T173	19651-19656	http://purl.obolibrary.org/obo/UBERON_0007100	denotes	heart
T174	19651-19656	http://purl.obolibrary.org/obo/UBERON_0015228	denotes	heart
T175	19651-19656	http://www.ebi.ac.uk/efo/EFO_0000815	denotes	heart
T176	19688-19696	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T177	19840-19842	http://purl.obolibrary.org/obo/CLO_0050510	denotes	18
T178	20115-20119	http://purl.obolibrary.org/obo/UBERON_0002048	denotes	lung
T179	20115-20119	http://www.ebi.ac.uk/efo/EFO_0000934	denotes	lung
T180	20152-20161	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digitally
T181	20418-20425	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T182	20451-20458	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digital
T183	21024-21030	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T184	21287-21293	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T185	21298-21305	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digital
T186	21557-21558	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T187	21559-21566	http://www.ebi.ac.uk/efo/EFO_0000881	denotes	digital
T188	21668-21675	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T189	21696-21703	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T190	22132-22136	http://purl.obolibrary.org/obo/UBERON_0002048	denotes	lung
T191	22132-22136	http://www.ebi.ac.uk/efo/EFO_0000934	denotes	lung
T192	22480-22483	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T193	22890-22892	http://purl.obolibrary.org/obo/CLO_0050509	denotes	27
T194	22899-22905	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T195	22948-22949	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T196	23063-23066	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T197	23103-23106	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T198	23507-23508	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T199	23704-23707	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T200	23718-23719	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T201	23742-23743	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T202	24010-24011	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T203	24019-24025	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T204	24091-24097	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T205	24334-24335	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T206	24400-24406	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T207	24507-24508	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T208	24616-24619	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T209	24650-24651	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T210	24788-24789	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T211	24902-24905	http://www.ebi.ac.uk/efo/EFO_0001410	denotes	arm
T212	25055-25056	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T213	25165-25168	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T214	25184-25185	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T215	25195-25201	http://purl.obolibrary.org/obo/UBERON_0001456	denotes	facing
T216	25577-25578	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T217	25730-25731	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T218	25851-25858	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T219	25934-25935	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T220	25958-25960	http://purl.obolibrary.org/obo/CLO_0001302	denotes	34
T221	26074-26080	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T222	26422-26424	http://purl.obolibrary.org/obo/CLO_0001000	denotes	35
T223	26426-26428	http://purl.obolibrary.org/obo/CLO_0001313	denotes	36
T224	26558-26559	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T225	26608-26609	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T226	26629-26631	http://purl.obolibrary.org/obo/CLO_0001000	denotes	35
T227	26694-26701	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T228	26981-26987	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T229	27198-27199	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T230	27527-27533	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T231	27918-27919	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T232	28120-28121	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T233	28263-28269	http://purl.obolibrary.org/obo/OBI_0000968	denotes	device
T234	28477-28478	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T235	28721-28722	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T236	28841-28848	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T237	28895-28898	http://purl.obolibrary.org/obo/CLO_0051582	denotes	has
T238	28939-28940	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T239	29014-29016	http://purl.obolibrary.org/obo/CLO_0053794	denotes	41
T240	29142-29143	http://purl.obolibrary.org/obo/CLO_0001020	denotes	A
T241	29284-29286	http://purl.obolibrary.org/obo/CLO_0001407	denotes	52
T242	29458-29460	http://purl.obolibrary.org/obo/CLO_0050507	denotes	22
T243	29521-29523	http://purl.obolibrary.org/obo/CLO_0050510	denotes	18
T244	29838-29839	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T245	30146-30147	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T246	30598-30602	http://purl.obolibrary.org/obo/UBERON_0002048	denotes	lung
T247	30598-30602	http://www.ebi.ac.uk/efo/EFO_0000934	denotes	lung
T248	31025-31027	http://purl.obolibrary.org/obo/CLO_0053799	denotes	45
T249	31612-31613	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T250	31625-31627	http://purl.obolibrary.org/obo/CLO_0053733	denotes	11
T251	31890-31892	http://purl.obolibrary.org/obo/CLO_0050475	denotes	My
T252	31994-31995	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T253	32184-32187	http://purl.obolibrary.org/obo/CLO_0001755	denotes	ask
T254	32814-32821	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T255	32927-32928	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T256	33136-33137	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T257	33195-33202	http://purl.obolibrary.org/obo/CLO_0009985	denotes	focused
T258	33445-33446	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T259	33468-33475	http://purl.obolibrary.org/obo/OBI_0000968	denotes	Devices
T260	33767-33768	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T261	33817-33824	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T262	33837-33843	http://purl.obolibrary.org/obo/UBERON_0000033	denotes	headed
T263	33837-33843	http://www.ebi.ac.uk/efo/EFO_0000964	denotes	headed
T264	34073-34078	http://purl.obolibrary.org/obo/UBERON_0000948	denotes	heart
T265	34073-34078	http://purl.obolibrary.org/obo/UBERON_0007100	denotes	heart
T266	34073-34078	http://purl.obolibrary.org/obo/UBERON_0015228	denotes	heart
T267	34073-34078	http://www.ebi.ac.uk/efo/EFO_0000815	denotes	heart
T268	34085-34089	http://purl.obolibrary.org/obo/UBERON_0000014	denotes	skin
T269	34085-34089	http://purl.obolibrary.org/obo/UBERON_0001003	denotes	skin
T270	34085-34089	http://purl.obolibrary.org/obo/UBERON_0002097	denotes	skin
T271	34085-34089	http://purl.obolibrary.org/obo/UBERON_0002199	denotes	skin
T272	34085-34089	http://www.ebi.ac.uk/efo/EFO_0000962	denotes	skin
T273	34103-34108	http://purl.obolibrary.org/obo/UBERON_0000178	denotes	blood
T274	34103-34108	http://www.ebi.ac.uk/efo/EFO_0000296	denotes	blood
T275	34137-34145	http://purl.obolibrary.org/obo/CLO_0001658	denotes	activity
T276	34256-34263	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T277	34442-34443	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T278	34757-34758	http://purl.obolibrary.org/obo/CLO_0001020	denotes	a
T279	34971-34978	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices
T280	35110-35117	http://purl.obolibrary.org/obo/OBI_0000968	denotes	devices

LitCovid-PD-CHEBI

Id	Subject	Object	Predicate	Lexical cue	chebi_id
T1	2736-2738	Chemical	denotes	WW	http://purl.obolibrary.org/obo/CHEBI_74876
T2	3023-3025	Chemical	denotes	WW	http://purl.obolibrary.org/obo/CHEBI_74876
T3	5654-5659	Chemical	denotes	sales	http://purl.obolibrary.org/obo/CHEBI_24866
T4	7525-7532	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T5	7871-7878	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T6	8093-8100	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T7	8250-8257	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T8	8394-8401	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T9	8524-8531	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T10	8546-8552	Chemical	denotes	Access	http://purl.obolibrary.org/obo/CHEBI_34922
T11	8688-8695	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T12	8974-8981	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T13	9243-9250	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T14	9472-9479	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T15	9788-9795	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T16	10080-10087	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T17	10426-10433	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T18	10735-10742	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T19	11205-11212	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T20	11490-11497	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T21	11569-11573	Chemical	denotes	Gold	http://purl.obolibrary.org/obo/CHEBI_29287
T22	11751-11764	Chemical	denotes	macronutrient	http://purl.obolibrary.org/obo/CHEBI_33937
T23	11829-11831	Chemical	denotes	WW	http://purl.obolibrary.org/obo/CHEBI_74876
T24	11871-11878	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T25	12268-12275	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T26	12627-12634	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T27	12968-12975	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T28	19129-19134	Chemical	denotes	ozone	http://purl.obolibrary.org/obo/CHEBI_25812
T29	20002-20009	Chemical	denotes	Android	http://purl.obolibrary.org/obo/CHEBI_27436
T30	20844-20852	Chemical	denotes	solution	http://purl.obolibrary.org/obo/CHEBI_75958
T31	21451-21459	Chemical	denotes	solution	http://purl.obolibrary.org/obo/CHEBI_75958
T32	21616-21624	Chemical	denotes	solution	http://purl.obolibrary.org/obo/CHEBI_75958
T33	21857-21865	Chemical	denotes	solution	http://purl.obolibrary.org/obo/CHEBI_75958
T34	22524-22541	Chemical	denotes	albuterol sulfate	http://purl.obolibrary.org/obo/CHEBI_2550
T35	22524-22533	Chemical	denotes	albuterol	http://purl.obolibrary.org/obo/CHEBI_2549
T36	22534-22541	Chemical	denotes	sulfate	http://purl.obolibrary.org/obo/CHEBI_16189
T37	22561-22583	Chemical	denotes	fluticasone propionate	http://purl.obolibrary.org/obo/CHEBI_31441
T38	22561-22572	Chemical	denotes	fluticasone	http://purl.obolibrary.org/obo/CHEBI_5134
T39	22573-22583	Chemical	denotes	propionate	http://purl.obolibrary.org/obo/CHEBI_17272
T40	22588-22598	Chemical	denotes	salmeterol	http://purl.obolibrary.org/obo/CHEBI_9011
T41	22616-22638	Chemical	denotes	fluticasone propionate	http://purl.obolibrary.org/obo/CHEBI_31441
T42	22616-22627	Chemical	denotes	fluticasone	http://purl.obolibrary.org/obo/CHEBI_5134
T43	22628-22638	Chemical	denotes	propionate	http://purl.obolibrary.org/obo/CHEBI_17272
T44	23328-23343	Chemical	denotes	corticosteroids	http://purl.obolibrary.org/obo/CHEBI_50858
T45	23470-23479	Chemical	denotes	albuterol	http://purl.obolibrary.org/obo/CHEBI_2549
T46	25673-25681	Chemical	denotes	solution	http://purl.obolibrary.org/obo/CHEBI_75958
T47	25805-25807	Chemical	denotes	AV	http://purl.obolibrary.org/obo/CHEBI_73809
T48	33490-33498	Chemical	denotes	medicine	http://purl.obolibrary.org/obo/CHEBI_23888
T49	34109-34115	Chemical	denotes	oxygen	http://purl.obolibrary.org/obo/CHEBI_25805
T50	35058-35066	Chemical	denotes	medicine	http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PD-GO-BP

Id	Subject	Object	Predicate	Lexical cue
T1	4779-4784	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T2	4809-4824	http://purl.obolibrary.org/obo/GO_0044850	denotes	menstrual cycle
T3	5034-5039	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T4	6066-6071	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T5	6126-6134	http://purl.obolibrary.org/obo/GO_0007610	denotes	behavior
T6	6360-6367	http://purl.obolibrary.org/obo/GO_0007605	denotes	Hearing
T7	13212-13217	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T8	13663-13672	http://purl.obolibrary.org/obo/GO_0007610	denotes	behaviors
T9	14394-14403	http://purl.obolibrary.org/obo/GO_0007610	denotes	behaviors
T10	15224-15229	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T11	15246-15251	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T12	15313-15318	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T13	15361-15366	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T14	15482-15487	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T15	15548-15553	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T16	15726-15731	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T17	15921-15926	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T18	16112-16117	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T19	16223-16228	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T20	16552-16557	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T21	16789-16794	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T22	17643-17652	http://purl.obolibrary.org/obo/GO_0007585	denotes	Breathing
T23	17710-17719	http://purl.obolibrary.org/obo/GO_0007585	denotes	breathing
T24	18675-18680	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T25	19608-19613	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T26	19767-19772	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T27	19860-19865	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T28	20197-20202	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T29	28214-28223	http://purl.obolibrary.org/obo/GO_0007585	denotes	breathing
T30	28326-28331	http://purl.obolibrary.org/obo/GO_0030431	denotes	sleep
T31	29437-29446	http://purl.obolibrary.org/obo/GO_0007585	denotes	breathing
T32	31187-31195	http://purl.obolibrary.org/obo/GO_0007610	denotes	behavior
T33	31275-31283	http://purl.obolibrary.org/obo/GO_0007610	denotes	behavior
T34	31339-31348	http://purl.obolibrary.org/obo/GO_0007610	denotes	behaviors
T35	31383-31392	http://purl.obolibrary.org/obo/GO_0007610	denotes	behaviors
T36	31706-31714	http://purl.obolibrary.org/obo/GO_0007610	denotes	behavior
T37	32408-32416	http://purl.obolibrary.org/obo/GO_0007610	denotes	behavior

LitCovid-sentences

Id	Subject	Object	Predicate	Lexical cue
T13	0-12	Sentence	denotes	Introduction
T14	13-166	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	167-349	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	350-528	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	529-688	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	689-852	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	853-1032	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	1033-1257	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	1258-1440	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	1441-1635	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	1636-1750	Sentence	denotes	The focus of this paper revolves around wearable devices for asthma, but can be applied for any chronic condition.
T24	1751-1920	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	1922-1938	Sentence	denotes	Connected Health
T26	1939-2106	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	2107-2439	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	2440-2698	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	2699-2921	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	2922-3238	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	3239-3432	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	3433-3665	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	3666-3885	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	3886-4115	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	4117-4152	Sentence	denotes	The First Wave of Wearable Devices:
T36	4153-4170	Sentence	denotes	Activity Trackers
T37	4171-4374	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	4375-4574	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	4575-4848	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	4849-5045	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	5046-5221	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	5222-5497	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	5498-5561	Sentence	denotes	Since 2014, the use of commercial wearable devices has doubled.
T44	5562-5729	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	5731-5779	Sentence	denotes	Wearable Devices that Promote Health and Fitness
T46	5780-5937	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	5938-6181	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	6182-6374	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	6375-6692	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	6693-6853	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	6854-7039	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	7040-7303	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	7304-7388	Sentence	denotes	A small sampling of highly rated fitness and nutrition apps are included in Table 1.
T54	7389-7433	Sentence	denotes	Table 1 Top rated fitness and nutrition apps
T55	7434-7479	Sentence	denotes	App Supporting devices Cost structure Details
T56	7480-7512	Sentence	denotes	For all-around healthy lifestyle
T57	7513-7745	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	7746-7846	Sentence	denotes	Provides realistic assessment of how hard or easy it will be to reach your health and fitness goals.
T59	7847-7851	Sentence	denotes	Yoga
T60	7852-7997	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	7998-8072	Sentence	denotes	Input goals, track progress, and choose classes based on experience level.
T62	8073-8232	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	8233-8378	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	8379-8481	Sentence	denotes	YogaGlo iOS, Android $18 per month Offers more than 3800 yoga workouts and guided mediation classes.
T65	8482-8500	Sentence	denotes	On-demand workouts
T66	8501-8667	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	8668-8845	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	8846-8917	Sentence	denotes	Large database of workout videos with step-by-step directions and tips.
T69	8918-8947	Sentence	denotes	Compatible with Fitbit Radio.
T70	8948-9131	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	9132-9227	Sentence	denotes	A Premium account also comes with programs led by trainers and nutrition and wellness guidance.
T72	9228-9371	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	9372-9457	Sentence	denotes	Users can also connect with personal trainers to ask questions and get expert advice.
T74	9458-9580	Sentence	denotes	Aaptiv iOS, Android $15 per month Audio classes taught by trainers guiding users through a fitness studio-style session.
T75	9581-9679	Sentence	denotes	Over 2500 workouts in cycling, yoga, strength training, stretching, elliptical workouts, and more.
T76	9680-9756	Sentence	denotes	Also comes with full marathon, half marathon, 10K, and 5K training programs.
T77	9757-9773	Sentence	denotes	Fitness tracking
T78	9774-9934	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	9935-10057	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	10058-10201	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	10202-10335	Sentence	denotes	Has hundreds of activities you can track, everything from vacuuming to rock climbing motivating user to keep a more active lifestyle.
T82	10336-10404	Sentence	denotes	Consolidates data from various fitness trackers or apps such Fitbit.
T83	10405-10521	Sentence	denotes	Charity Miles iOS, Android Free Motivates by donating money to charity for every mile users run, walk, or bicycle.
T84	10522-10695	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	10696-10714	Sentence	denotes	Nutrition-Tracking
T86	10715-10908	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	10909-11035	Sentence	denotes	Consolidates everything users eat and drink, plus all their activities to calculate calories consumed against calories burned.
T88	11036-11107	Sentence	denotes	It also has tools for tracking weight and other body changes over time.
T89	11108-11192	Sentence	denotes	It has the largest database of foods and is the best food logging app on the market.
T90	11193-11474	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	11475-11667	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	11668-11826	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	11827-12043	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	12044-12152	Sentence	denotes	Users do not have to attend meetings or meet with a counselor (although this is an option for an added fee).
T95	12153-12228	Sentence	denotes	Monitors food intake with SmartPoints rather than counting calories or fat.
T96	12229-12255	Sentence	denotes	Mindfulness and meditation
T97	12256-12496	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	12497-12609	Sentence	denotes	Paid users have access to more multi-day courses, a “Daily Calm” course, and many, many more guided meditations.
T99	12610-12747	Sentence	denotes	Headspace iOS, Android $12.99 per month or $69.99 per year Guided meditation for health issues, emotions, challenges, and productivity.
T100	12748-12823	Sentence	denotes	There are even “SOS” sessions for some of the more stressful times in life.
T101	12824-12940	Sentence	denotes	Recently added free content called Weathering the Storm for those struggling with the emotional effects of COVID-19.
T102	12941-13125	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	13126-13300	Sentence	denotes	With subscription choose guided or silent meditation sessions for challenges, travel, sleep, relationships, stress relief, emotions, body awareness, focus, and relationships.
T104	13301-13507	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	13508-13769	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	13770-13902	Sentence	denotes	The more the patient understands about their personal health, the more empowered they will be to make meaningful behavioral changes.
T107	13903-14040	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	14041-14200	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	14201-14481	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	14482-14702	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	14703-14890	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	14892-14918	Sentence	denotes	Wearable Devices in Asthma
T113	14919-15097	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	15098-15261	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	15262-15356	Sentence	denotes	Castner et al. used the Fitbit Charge™ to validate sleep measures in women with asthma [18••].
T116	15357-15506	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	15507-15620	Sentence	denotes	The Fitbit device tended to overestimate sleep efficiency and underestimate wake counts compared with actigraphy.
T118	15621-15820	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	15821-16096	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	16097-16390	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	16391-16508	Sentence	denotes	Fitbit-derived physical activity levels were not associated with PROMIS pediatric asthma impact (r = 0.04, P = 0.62).
T122	16509-16698	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	16699-17081	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	17082-17329	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	17330-17553	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	17554-17642	Sentence	denotes	Acoustic monitoring is another type of wearable devices that has been studied in asthma.
T127	17643-17828	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	17829-17932	Sentence	denotes	Moreover, chest movement signals can be acquired using an accelerometer or belt-shaped device [24, 25].
T129	17933-18038	Sentence	denotes	Boner et al. measured the nocturnal wheeze in children with asthma using an acoustic respiratory monitor.
T130	18039-18223	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	18224-18355	Sentence	denotes	The use of these continual wearable monitoring systems is still a developing field that needs further study on its clinical impact.
T132	18357-18403	Sentence	denotes	Use of Electronic Monitoring Devices in Asthma
T133	18404-18556	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	18557-18724	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	18725-18905	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	18906-19215	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	19216-19318	Sentence	denotes	A summary of some of the current and emerging technologies in the asthma space is provided in Table 2.
T138	19319-19370	Sentence	denotes	Table 2 Current and emerging technologies in asthma
T139	19371-19426	Sentence	denotes	Technology Measures Outcomes in asthma studies Comments
T140	19427-19446	Sentence	denotes	Wearable technology
T141	19447-19456	Sentence	denotes	− Fitbit™
T142	19457-19637	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	19638-19842	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	19843-19949	Sentence	denotes	− Fitbit-derived sleep quality correlated with PROMIS pediatric asthma impact score.21 Corresponding Apps:
T145	19950-20009	Sentence	denotes	Apple Watch App on iPhone, Fitbit App on iPhone and Android
T146	20010-20187	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	20188-20193	Sentence	denotes	Cons:
T148	20194-20254	Sentence	denotes	No sleep data available on Apple Watch without 3rd party App
T149	20255-20268	Sentence	denotes	Data sharing:
T150	20269-20395	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	20396-20487	Sentence	denotes	Electronic monitoring devices (e.g., inhaler sensors ± digital health platform) Digihaler™:
T152	20488-20599	Sentence	denotes	− Inhaler time of inhaler use, peak inspiratory flow rate (PIFR), time to PIFR, inhalation volume and duration.
T153	20600-20624	Sentence	denotes	Propeller Health System:
T154	20625-20679	Sentence	denotes	− Inhaler sensor: date, time and number of doses taken
T155	20680-20709	Sentence	denotes	− Asthma Health Platform App:
T156	20710-20835	Sentence	denotes	Location of inhaler use using phone GPS, current weather/pollen counts/air pollution and self-report asthma symptoms/triggers
T157	20836-20853	Sentence	denotes	Hailie™ solution:
T158	20854-20929	Sentence	denotes	− Inhaler sensor: date, time, number of inhaler actuations and missed doses
T159	20930-20993	Sentence	denotes	− Hailie™ App: medication adherence, daily medication reminders
T160	20994-21031	Sentence	denotes	Inhaler compliance assessment device:
T161	21032-21127	Sentence	denotes	Time of dose, inhaler technique errors − Greater asthma control31,38–39 and symptom-free days33
T162	21128-21217	Sentence	denotes	− Reduction in daily symptoms31, rescue medication use29,32–33, and exacerbations34,38–39
T163	21218-21254	Sentence	denotes	− Improved medication adherence36–40
T164	21255-21327	Sentence	denotes	− High patient acceptability of device and digital health platform36–37.
T165	21328-21347	Sentence	denotes	Corresponding Apps:
T166	21348-21386	Sentence	denotes	Digihaler™, Propeller Health, Hailie™.
T167	21387-21460	Sentence	denotes	Web-based platform also available for Propeller Health, Hailie™ solution.
T168	21461-21626	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	21627-21632	Sentence	denotes	Cons:
T170	21633-21753	Sentence	denotes	Additional efficacy studies of the devices are needed, cost of devices are not always covered by insurance reimbursement
T171	21754-21767	Sentence	denotes	Data sharing:
T172	21768-21928	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	21929-21974	Sentence	denotes	Mobile-based applications Self-monitoring of:
T174	21975-21992	Sentence	denotes	− Asthma symptoms
T175	21993-22003	Sentence	denotes	− Triggers
T176	22004-22082	Sentence	denotes	− Medication use -Improvements in asthma control though low-quality evidence45
T177	22083-22205	Sentence	denotes	-Improvements in asthma control in five studies, lung function in two studies and quality of life in three studies46 Pros:
T178	22206-22236	Sentence	denotes	Acceptable and feasible to use
T179	22237-22242	Sentence	denotes	Cons:
T180	22243-22364	Sentence	denotes	Vary in quality; data are self-reported, most apps have not been validated; risk of loss of privacy of health information
T181	22365-22378	Sentence	denotes	Data sharing:
T182	22379-22461	Sentence	denotes	Vary in ability to share with provider, most are up to user to share with provider
T183	22462-22649	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	22650-22736	Sentence	denotes	The Digihaler™ contains built-in sensors that records inhalation data with timestamps.
T185	22737-22894	Sentence	denotes	The inhalation data includes parameters that are important for assessing inhaler technique including peak inspiratory flow rate and inhalation duration [27].
T186	22895-23020	Sentence	denotes	The device is connected via Bluetooth® technology to a companion App that provides information on inhaler use to the patient.
T187	23021-23155	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	23156-23245	Sentence	denotes	Adults with exacerbation-prone asthma (n = 360) used the ProAir® Digihaler™ for 12 weeks.
T189	23246-23416	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	23417-23549	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	23550-23686	Sentence	denotes	Further developments of the model in larger populations are needed to determine the efficacy of the Digihaler™ to predict exacerbations.
T192	23687-23841	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	23842-23925	Sentence	denotes	The inhaler sensor collects date and time of inhaler use and number of puffs taken.
T194	23926-24098	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	24099-24269	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	24270-24333	Sentence	denotes	The Propeller Health System is one of the most studied to date.
T197	24334-24552	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	24553-24646	Sentence	denotes	The effectiveness of Propeller Health System on rescue inhaler has also been examined [31••].
T199	24647-24769	Sentence	denotes	In a study of 495 patients, all patients received the Propeller Health System but only 250 received sensor-based feedback.
T200	24770-24982	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	24983-25147	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	25148-25320	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	25321-25502	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	25503-25660	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	25661-25962	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	25963-26069	Sentence	denotes	The sensors record the date and time of actuations, the total number of actuations used, and missed doses.
T207	26070-26263	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	26264-26430	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	26431-26636	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	26637-26785	Sentence	denotes	The authors of these studies conclude that SmartInhaler™ devices were more effective than standard care in improving adherence to asthma medication.
T211	26786-26939	Sentence	denotes	Two of the studies showed significant improvement in clinical outcomes (e.g., asthma exacerbations, asthma control, and healthcare utilization) [37, 38].
T212	26940-27131	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	27132-27276	Sentence	denotes	Specifically, it can assess proper inhaler technique by measuring a failure to prime the inhaler, inadequate inspiratory flow, and dose dumping.
T214	27277-27446	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	27447-27587	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	27588-27704	Sentence	denotes	The mean rate of attempted adherence was 58.7%, whereas actual adherence (proper timing and technique) was only 23%.
T217	27705-27828	Sentence	denotes	Only 7% of participants had actual adherence above 80%, underscoring the importance of addressing proper inhaler technique.
T218	27829-27942	Sentence	denotes	Currently, there is no mobile app for the INCA tool and the data must be downloaded onto a computer for analysis.
T219	27943-28059	Sentence	denotes	Additional studies are currently being conducted using an INCA App to assess its ability to improve asthma outcomes.
T220	28060-28196	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	28197-28361	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	28362-28490	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	28491-28659	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	28660-28793	Sentence	denotes	Such steps include reminders to avoid known triggers, refill a prescription, or make an appointment to see their healthcare provider.
T225	28795-28823	Sentence	denotes	Use of Mobile Apps in Asthma
T226	28824-28928	Sentence	denotes	As with wearable devices, the use of health apps on phones and tablets has rapidly been increasing [13].
T227	28929-29020	Sentence	denotes	There are a large number of asthma-related apps with well over 500 reported in 2019 [41••].
T228	29021-29141	Sentence	denotes	The mobile apps range from providing health education, symptom tracking, environmental alerts, and medication reminders.
T229	29142-29269	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	29270-29672	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	29673-29795	Sentence	denotes	Despite the great number of currently available mobile apps for asthma, few effectiveness evaluations have been conducted.
T232	29796-29898	Sentence	denotes	In 2013, Marcano and colleagues conducted a Cochrane review on mobile apps for asthma self-management.
T233	29899-30101	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	30102-30290	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	30291-30428	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	30429-30520	Sentence	denotes	In 2017, another systematic review assessed asthma self-management using mHealth apps [44].
T237	30521-30665	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	30666-30749	Sentence	denotes	There was no significant impact on economic outcomes such as hospitalization rates.
T239	30750-30929	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	30930-31031	Sentence	denotes	Ramsey and colleagues reviewed the content and quality of mHealth asthma self-management apps [45••].
T241	31032-31221	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	31222-31393	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	31394-31574	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	31575-31655	Sentence	denotes	Of the twenty-three apps identified, a range of 1–11 BCTs were used by the apps.
T245	31656-31817	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	31818-31906	Sentence	denotes	Three apps used at least eight BCTs (i.e., AsthmaMD, Kiss myAsthma, and My Breathefree).
T247	31907-32011	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	32012-32126	Sentence	denotes	Four apps had an overall MARS quality of > 4.0 (AsthmaMD, Asthma Health Storylines, Kiss myAsthma, and Wizdy Pets:
T249	32127-32146	Sentence	denotes	Kids’ Asthma Game).
T250	32147-32424	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	32425-32581	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	32582-32665	Sentence	denotes	There are some limitations to consider regarding the use of mobile apps for asthma.
T253	32666-32754	Sentence	denotes	The majority of commercially available asthma apps lack validation in clinical settings.
T254	32755-32908	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	32909-33008	Sentence	denotes	Finally, there is a risk of loss of privacy of health information for patients that use these apps.
T256	33009-33105	Sentence	denotes	One study showed that only 30% of the most commonly used mHealth apps had privacy policies [46].
T257	33106-33261	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	33262-33431	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	33433-33475	Sentence	denotes	Conclusion: a New Wave of Wearable Devices
T260	33476-33591	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	33592-33793	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	33794-33986	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	33987-34146	Sentence	denotes	This approach allows frequent and continuous measurements of body functions including heart rate, skin temperature, blood oxygen levels, and physical activity.
T264	34147-34389	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	34390-34530	Sentence	denotes	Healthcare providers and patients themselves can do a much better job of tracking their health outside of regularly scheduled office visits.
T266	34531-34717	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	34718-34927	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	34928-35082	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	35083-35272	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	35273-35423	Sentence	denotes	They may also help to enhance accurate symptom reports, improve accuracy of diagnosis, and streamline appropriate specialty referral when appropriate.

LitCovid-PD-HP

Id	Subject	Object	Predicate	Lexical cue	hp_id
T3	1584-1590	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T4	1592-1596	Phenotype	denotes	COPD	http://purl.obolibrary.org/obo/HP_0006510
T5	1612-1634	Phenotype	denotes	cardiovascular disease	http://purl.obolibrary.org/obo/HP_0001626
T6	1697-1703	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T7	2710-2721	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T8	2977-2988	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T9	3094-3105	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T10	3524-3535	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T11	4028-4039	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T12	4542-4553	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T13	5065-5076	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T14	7152-7163	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T15	11290-11301	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T16	12025-12036	Phenotype	denotes	weight loss	http://purl.obolibrary.org/obo/HP_0001824
T17	13883-13901	Phenotype	denotes	behavioral changes	http://purl.obolibrary.org/obo/HP_0000708
T18	14912-14918	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T19	15052-15074	Phenotype	denotes	cardiovascular disease	http://purl.obolibrary.org/obo/HP_0001626
T20	15090-15096	Phenotype	denotes	cancer	http://purl.obolibrary.org/obo/HP_0002664
T21	15118-15124	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T22	15157-15163	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T23	15342-15348	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T24	15778-15784	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T25	15797-15803	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T26	15888-15894	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T27	16084-16090	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T28	16223-16240	Phenotype	denotes	sleep disturbance	http://purl.obolibrary.org/obo/HP_0002360
T29	16339-16345	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T30	16473-16479	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T31	16622-16628	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T32	16750-16756	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T33	16969-16975	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T34	17023-17029	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T35	17152-17158	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T36	17205-17211	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T37	17262-17268	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T38	17378-17384	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T39	17494-17500	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T40	17635-17641	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T41	17805-17811	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T42	17821-17826	Phenotype	denotes	cough	http://purl.obolibrary.org/obo/HP_0012735
T43	17993-17999	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T44	18102-18108	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T45	18148-18156	Phenotype	denotes	wheezing	http://purl.obolibrary.org/obo/HP_0030828
T46	18397-18403	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T47	18444-18450	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T48	18708-18714	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T49	19282-19288	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T50	19364-19370	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T51	19403-19409	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T52	19907-19913	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T53	20133-20139	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T54	20172-20178	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T55	20682-20688	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T56	20811-20817	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T57	21081-21087	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T58	21528-21534	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T59	21977-21983	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T60	22038-22044	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T61	22100-22106	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T62	23187-23193	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T63	23281-23287	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T64	23813-23819	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T65	23984-23990	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T66	24103-24109	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T67	24153-24159	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T68	24488-24494	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T69	24531-24537	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T70	24963-24969	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T71	25298-25304	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T72	25591-25597	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T73	26598-26604	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T74	26767-26773	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T75	26864-26870	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T76	26886-26892	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T77	27479-27516	Phenotype	denotes	chronic obstructive pulmonary disease	http://purl.obolibrary.org/obo/HP_0006510
T78	28043-28049	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T79	28168-28174	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T80	28365-28371	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T81	28534-28540	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T82	28587-28593	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T83	28652-28658	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T84	28817-28823	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T85	28957-28963	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T86	29190-29196	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T87	29665-29671	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T88	29737-29743	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T89	29875-29881	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T90	30005-30011	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T91	30029-30035	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T92	30045-30051	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T93	30167-30173	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T94	30206-30212	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T95	30267-30273	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T96	30473-30479	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T97	30566-30572	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T98	30805-30811	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T99	30851-30857	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T100	30996-31002	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T101	32070-32076	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T102	32133-32139	Phenotype	denotes	Asthma	http://purl.obolibrary.org/obo/HP_0002099
T103	32302-32308	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T104	32469-32475	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T105	32658-32664	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T106	32705-32711	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T107	33300-33306	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T108	33415-33421	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099
T109	34886-34892	Phenotype	denotes	asthma	http://purl.obolibrary.org/obo/HP_0002099

2_test

Id	Subject	Object	Predicate	Lexical cue
32506184-23676416-23940153	2436-2437	23676416	denotes	1
32506184-15630109-23940154	3235-3236	15630109	denotes	2
32506184-27097761-23940155	3429-3430	27097761	denotes	3
32506184-12684357-23940156	3660-3661	12684357	denotes	4
32506184-10028217-23940156	3660-3661	10028217	denotes	4
32506184-19945338-23940156	3660-3661	19945338	denotes	4
32506184-24418413-23940157	4109-4110	24418413	denotes	7
32506184-25753009-23940157	4109-4110	25753009	denotes	7
32506184-24332469-23940157	4109-4110	24332469	denotes	7
32506184-24350804-23940157	4109-4110	24350804	denotes	7
32506184-16808754-23940158	14695-14697	16808754	denotes	15
32506184-21551394-23940158	14695-14697	21551394	denotes	15
32506184-26969293-23940158	14695-14697	26969293	denotes	15
32506184-29972657-23940159	15350-15352	29972657	denotes	18
32506184-28526251-23940160	15498-15500	28526251	denotes	19
32506184-26484953-23940161	15502-15504	26484953	denotes	20
32506184-28743679-23940162	15812-15814	28743679	denotes	21
32506184-28743679-23940163	16092-16094	28743679	denotes	21
32506184-31518318-23940164	17549-17551	31518318	denotes	23
32506184-22035321-23940165	17928-17930	22035321	denotes	25
32506184-20394513-23940166	18219-18221	20394513	denotes	26
32506184-28481631-23940167	22890-22892	28481631	denotes	27
32506184-23460785-23940168	24548-24550	23460785	denotes	30
32506184-26778246-23940169	24640-24642	26778246	denotes	31
32506184-29150069-23940170	25143-25145	29150069	denotes	32
32506184-17320942-23940171	26422-26424	17320942	denotes	35
32506184-22741746-23940172	26426-26428	22741746	denotes	36
32506184-17320942-23940173	26629-26631	17320942	denotes	35
32506184-22741746-23940173	26629-26631	22741746	denotes	35
32506184-27815524-23940173	26629-26631	27815524	denotes	35
32506184-25617215-23940173	26629-26631	25617215	denotes	35
32506184-20170329-23940173	26629-26631	20170329	denotes	35
32506184-27815524-23940174	26931-26933	27815524	denotes	37
32506184-25617215-23940175	26935-26937	25617215	denotes	38
32506184-28276739-23940176	27583-27585	28276739	denotes	40
32506184-31706485-23940177	29014-29016	31706485	denotes	41
32506184-25725939-23940178	29265-29267	25725939	denotes	42
32506184-30954644-23940179	31025-31027	30954644	denotes	45
32506184-25147247-23940180	33101-33103	25147247	denotes	46
32506184-28081144-23940181	34385-34387	28081144	denotes	47

PMC:7275133 / 1530-36953 JSONTXT

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PMC:7275133 / 1530-36953 JSON TXT