PMC:7160614 / 29092-30119
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 369 | 283-290 | Species | denotes | patient | Tax:9606 |
| 370 | 868-876 | Species | denotes | patients | Tax:9606 |
| 371 | 882-890 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T117 | 882-890 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T184 | 10-11 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T185 | 102-103 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T186 | 130-131 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T187 | 263-264 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T188 | 914-919 | http://purl.obolibrary.org/obo/CLO_0009985 | denotes | focus |
LitCovid-PD-GO-BP
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T16 | 795-803 | http://purl.obolibrary.org/obo/GO_0007612 | denotes | learning |
0_colil
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-16505391-67441 | 302-304 | 16505391 | denotes | 29 |
TEST0
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-100-106-67441 | 302-304 | ["16505391"] | denotes | 29 |
2_test
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-16505391-29373589 | 302-304 | 16505391 | denotes | 29 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T309 | 0-42 | Sentence | denotes | There are a few limitations in this study. |
| T310 | 43-201 | Sentence | denotes | First, the sample size is relatively small because this is a retrospective analysis of a new disease and most of the cases outside of Wuhan City are imported. |
| T311 | 202-519 | Sentence | denotes | Second, with the multi-center retrospective design, there is a potential bias of patient selection [29], since there may be some deviations in marking semantic features among readers, though we have taken the effort to reduce this by creating pictorial examples and setting feature criteria (Supplementary Materials). |
| T312 | 520-567 | Sentence | denotes | Third, longitudinal CT study was not performed. |
| T313 | 568-707 | Sentence | denotes | Whether or not this model can be used to evaluate the follow-ups and help to guide therapy remains an open question to be further explored. |
| T314 | 708-891 | Sentence | denotes | Moreover, the rich high-order features of the CT image combined with radiomics or deep learning have not been studied, which may be another way to identify the patients with COVID-19. |
| T315 | 892-1027 | Sentence | denotes | Besides, one can also focus on the role of radiological features in disease monitoring, treatment evaluation, and prognosis prediction. |
MyTest
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-16505391-29373589 | 302-304 | 16505391 | denotes | 29 |