PMC:7283670 / 57929-58496
Annnotations
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T210 | 50-54 | Body_part | denotes | cell | http://purl.org/sig/ont/fma/fma68646 |
| T211 | 152-156 | Body_part | denotes | cell | http://purl.org/sig/ont/fma/fma68646 |
| T212 | 313-317 | Body_part | denotes | cell | http://purl.org/sig/ont/fma/fma68646 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T346 | 4-12 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T347 | 95-103 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T348 | 283-291 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T349 | 445-453 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T350 | 493-501 | Disease | denotes | COVID‐19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T550 | 48-54 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a cell |
| T551 | 115-117 | http://purl.obolibrary.org/obo/CLO_0050510 | denotes | 18 |
| T552 | 150-156 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a cell |
| T553 | 230-231 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T554 | 311-317 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a cell |
| T555 | 391-392 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T618 | 0-291 | Sentence | denotes | The COVID‐19 mobile health study (CMHS) nCapp, a cell phone‐based autodiagnosis system China/COVID‐19 450, all, 18–90 Diagnosis Training: nCapp, a cell phone‐based autodiagnosis system, combined with 15 questions online, and a predicated formula to autodiagnosis of the risk of COVID‐19 |
| T619 | 292-567 | Sentence | denotes | Validation: nCapp, a cell phone‐based autodiagnosis system, combined with 15 questions online, and a predicated formula to auto‐diagnosis of the risk of COVID‐19 – Primary (1 day): accuracy of nCapp COVID‐19 risk diagnostic model NCT04275947/Recruiting, Feb 14‐May 31 2020 |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 2104 | 4-12 | Disease | denotes | COVID‐19 | MESH:C000657245 |
| 2105 | 95-103 | Disease | denotes | COVID‐19 | MESH:C000657245 |
| 2106 | 283-288 | Disease | denotes | COVID | MESH:C000657245 |
| 2107 | 445-453 | Disease | denotes | COVID‐19 | MESH:C000657245 |
| 2108 | 493-501 | Disease | denotes | COVID‐19 | MESH:C000657245 |