PMC:7782580 / 1165-1389
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 17 | 101-109 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 18 | 110-119 | Disease | denotes | infection | MESH:D007239 |
| 19 | 195-223 | Disease | denotes | upper respiratory infections | MESH:D012141 |
LitCovid-PD-HP
| Id | Subject | Object | Predicate | Lexical cue | hp_id |
|---|---|---|---|---|---|
| T1 | 201-223 | Phenotype | denotes | respiratory infections | http://purl.obolibrary.org/obo/HP_0011947 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T10 | 0-224 | Sentence | denotes | Liang, Gu and other colleagues develop a convoluted neural network (CNN)-based framework to diagnose COVID-19 infection from chest X-ray and computed tomography images, and comparison with other upper respiratory infections. |