PMC:7160614 / 24451-25067
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
307 | 523-531 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T56 | 69-73 | Body_part | denotes | axis | http://purl.org/sig/ont/fma/fma12520 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T93 | 523-531 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T149 | 246-247 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T16 | 434-445 | Chemical | denotes | application | http://purl.obolibrary.org/obo/CHEBI_33232 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T276 | 63-357 | Sentence | denotes | The y-axis measures the net benefit, which is calculated by summing the benefits (true-positive findings) and subtracting the harms (false-positive findings), weighting the latter by a factor related to the relative harm of undetected metastasis compared with the harm of unnecessary treatment. |
T277 | 358-616 | Sentence | denotes | The decision curve shows that if the threshold probability is over 10%, the application of the combination of clinical and radiological model (CR model) to diagnose COVID-19 adds more benefit than the clinical model (C model) and radiological model (R model) |