PMC:7160614 / 26003-26702
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 326 | 130-138 | Species | denotes | patients | Tax:9606 |
| 327 | 120-129 | Disease | denotes | pneumonia | MESH:D011014 |
| 328 | 156-164 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 329 | 336-344 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 330 | 680-688 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 331 | 689-698 | Disease | denotes | infection | MESH:D007239 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T98 | 120-129 | Disease | denotes | pneumonia | http://purl.obolibrary.org/obo/MONDO_0005249 |
| T99 | 156-164 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T100 | 336-344 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T101 | 629-632 | Disease | denotes | PCT | http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104 |
| T103 | 680-688 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T104 | 689-698 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T160 | 667-671 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | test |
LitCovid-PD-HP
| Id | Subject | Object | Predicate | Lexical cue | hp_id |
|---|---|---|---|---|---|
| T35 | 120-129 | Phenotype | denotes | pneumonia | http://purl.obolibrary.org/obo/HP_0002090 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T288 | 0-165 | Sentence | denotes | In this multi-center study, statistical analysis was performed in comparing imaging and clinical manifestations between pneumonia patients with and without COVID-19. |
| T289 | 166-318 | Sentence | denotes | Eighteen radiological semantic features and seventeen clinical features were identified to be significantly different between the two groups (p < 0.05). |
| T290 | 319-400 | Sentence | denotes | Three models for COVID-19 diagnosis were developed based on the refined features. |
| T291 | 401-507 | Sentence | denotes | The models were validated in the both primary and validation cohorts and achieved an AUC as high as 0.986. |
| T292 | 508-699 | Sentence | denotes | These models will play an essential role for early and easy-to-access diagnosis, especially when there are not enough RT-PCT kits or experimental platforms to test for the COVID-19 infection. |