PMC:7782580 / 49-729
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 7 | 54-78 | Disease | denotes | Coronavirus disease 2019 | MESH:C000657245 |
| 8 | 80-88 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 9 | 179-187 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 10 | 296-304 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T2 | 45-53 | Sentence | denotes | Abstract |
| T3 | 54-143 | Sentence | denotes | Coronavirus disease 2019 (COVID-19) is a global pandemic posing significant health risks. |
| T4 | 144-242 | Sentence | denotes | The diagnostic test sensitivity of COVID-19 is limited due to irregularities in specimen handling. |
| T5 | 243-390 | Sentence | denotes | We propose a deep learning framework that identifies COVID-19 from medical images as an auxiliary testing method to improve diagnostic sensitivity. |