PubMed:33177550 / 0-418
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T1 | 41-55 | Body_part | denotes | neural network | http://purl.org/sig/ont/fma/fma74616 |
T2 | 100-105 | Body_part | denotes | chest | http://purl.org/sig/ont/fma/fma9576 |
LitCovid-PD-UBERON
Id | Subject | Object | Predicate | Lexical cue | uberon_id |
---|---|---|---|---|---|
T1 | 100-105 | Body_part | denotes | chest | http://purl.obolibrary.org/obo/UBERON_0001443 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T1 | 80-88 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T2 | 124-148 | Disease | denotes | Coronavirus Disease 2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T3 | 150-158 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T4 | 300-308 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 11-12 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T2 | 100-105 | http://www.ebi.ac.uk/efo/EFO_0000965 | denotes | chest |
T3 | 187-188 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T4 | 263-264 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
2 | 0-5 | Disease | denotes | COVID | MESH:C000657245 |
3 | 80-88 | Disease | denotes | COVID-19 | MESH:C000657245 |
24 | 124-148 | Disease | denotes | Coronavirus Disease 2019 | MESH:C000657245 |
25 | 150-158 | Disease | denotes | COVID-19 | MESH:C000657245 |
26 | 300-308 | Disease | denotes | COVID-19 | MESH:C000657245 |
27 | 335-343 | Disease | denotes | infected | MESH:D007239 |
28 | 344-352 | Species | denotes | patients | Tax:9606 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 0-119 | Sentence | denotes | COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. |
T2 | 120-262 | Sentence | denotes | The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the health and well-being of the global population. |
mondo_disease
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T1 | 80-88 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T2 | 124-148 | Disease | denotes | Coronavirus Disease 2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T3 | 150-158 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T4 | 300-308 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
NCBITAXON
Id | Subject | Object | Predicate | Lexical cue | db_id |
---|---|---|---|---|---|
T1 | 124-148 | OrganismTaxon | denotes | Coronavirus Disease 2019 | 2697049 |
Anatomy-UBERON
Id | Subject | Object | Predicate | Lexical cue | uberon_id |
---|---|---|---|---|---|
T1 | 100-105 | Body_part | denotes | chest | http://purl.obolibrary.org/obo/UBERON_0001443 |