> top > docs > PMC:7160614 > spans > 27991-29091 > annotations

PMC:7160614 / 27991-29091 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
361 442-444 Chemical denotes CR
362 122-130 Disease denotes COVID-19 MESH:C000657245
363 377-382 Disease denotes cough MESH:D003371
364 387-394 Disease denotes fatigue MESH:D005221
365 571-584 Disease denotes breast cancer MESH:D001943

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T66 351-356 Body_part denotes heart http://purl.org/sig/ont/fma/fma7088
T67 411-421 Body_part denotes lymphocyte http://purl.org/sig/ont/fma/fma62863
T68 571-577 Body_part denotes breast http://purl.org/sig/ont/fma/fma9601

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T52 306-312 Body_part denotes vessel http://purl.obolibrary.org/obo/UBERON_0000055
T53 351-356 Body_part denotes heart http://purl.obolibrary.org/obo/UBERON_0000948
T54 571-577 Body_part denotes breast http://purl.obolibrary.org/obo/UBERON_0000310

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T114 122-130 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T115 571-584 Disease denotes breast cancer http://purl.obolibrary.org/obo/MONDO_0007254
T116 578-584 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T175 83-86 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T176 306-312 http://purl.obolibrary.org/obo/UBERON_0000055 denotes vessel
T177 351-356 http://purl.obolibrary.org/obo/UBERON_0000948 denotes heart
T178 351-356 http://purl.obolibrary.org/obo/UBERON_0007100 denotes heart
T179 351-356 http://purl.obolibrary.org/obo/UBERON_0015228 denotes heart
T180 351-356 http://www.ebi.ac.uk/efo/EFO_0000815 denotes heart
T181 571-577 http://purl.obolibrary.org/obo/UBERON_0000310 denotes breast
T182 683-684 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T183 904-905 http://purl.obolibrary.org/obo/CLO_0001020 denotes A

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T14 364-375 http://purl.obolibrary.org/obo/GO_0045333 denotes respiration
T15 364-375 http://purl.obolibrary.org/obo/GO_0007585 denotes respiration

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T40 377-382 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T41 387-394 Phenotype denotes fatigue http://purl.obolibrary.org/obo/HP_0012378
T42 571-584 Phenotype denotes breast cancer http://purl.obolibrary.org/obo/HP_0003002

0_colil

Id Subject Object Predicate Lexical cue
32300971-30842125-67439 705-707 30842125 denotes 24
32300971-31115618-67440 922-924 31115618 denotes 28

TEST0

Id Subject Object Predicate Lexical cue
32300971-195-201-67439 705-707 ["30842125"] denotes 24
32300971-18-24-67440 922-924 ["31115618"] denotes 28

2_test

Id Subject Object Predicate Lexical cue
32300971-30842125-29373587 705-707 30842125 denotes 24
32300971-31115618-29373588 922-924 31115618 denotes 28

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T303 0-131 Sentence denotes To our knowledge, no diagnostic model based on imaging and clinical features alone has been proposed for the diagnosis of COVID-19.
T304 132-437 Sentence denotes Our clinical and radiological semantic (CR) models consisted of the following features: total number of GGO with consolidation in the peripheral area, tree-in-bud, offending vessel augmentation in lesions, temperature, heart ratio, respiration, cough and fatigue, WBC count, and lymphocyte count category.
T305 438-509 Sentence denotes The CR model outperformed the individual clinical and radiologic model.
T306 510-709 Sentence denotes This result was in accordance with that in previous study in breast cancer, in which the model based on the combination of radiomics features and clinical features achieved a higher performance [24].
T307 710-903 Sentence denotes Compared with the radiomics-based model, the extraction of radiological semantic features can overcome the image discrepancy caused by different scanning parameters and/or different CT vendors.
T308 904-1100 Sentence denotes A previous study [28] also indicated that models based on semantic features determined by an experienced thoracic radiologist slightly outperformed models based on computed texture features alone.

MyTest

Id Subject Object Predicate Lexical cue
32300971-30842125-29373587 705-707 30842125 denotes 24
32300971-31115618-29373588 922-924 31115618 denotes 28