PMC:7160614 / 27991-29091
Annnotations
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 361 | 442-444 | Chemical | denotes | CR | |
| 362 | 122-130 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 363 | 377-382 | Disease | denotes | cough | MESH:D003371 |
| 364 | 387-394 | Disease | denotes | fatigue | MESH:D005221 |
| 365 | 571-584 | Disease | denotes | breast cancer | MESH:D001943 |
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T66 | 351-356 | Body_part | denotes | heart | http://purl.org/sig/ont/fma/fma7088 |
| T67 | 411-421 | Body_part | denotes | lymphocyte | http://purl.org/sig/ont/fma/fma62863 |
| T68 | 571-577 | Body_part | denotes | breast | http://purl.org/sig/ont/fma/fma9601 |
LitCovid-PD-UBERON
| Id | Subject | Object | Predicate | Lexical cue | uberon_id |
|---|---|---|---|---|---|
| T52 | 306-312 | Body_part | denotes | vessel | http://purl.obolibrary.org/obo/UBERON_0000055 |
| T53 | 351-356 | Body_part | denotes | heart | http://purl.obolibrary.org/obo/UBERON_0000948 |
| T54 | 571-577 | Body_part | denotes | breast | http://purl.obolibrary.org/obo/UBERON_0000310 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T114 | 122-130 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T115 | 571-584 | Disease | denotes | breast cancer | http://purl.obolibrary.org/obo/MONDO_0007254 |
| T116 | 578-584 | Disease | denotes | cancer | http://purl.obolibrary.org/obo/MONDO_0004992 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T175 | 83-86 | http://purl.obolibrary.org/obo/CLO_0051582 | denotes | has |
| T176 | 306-312 | http://purl.obolibrary.org/obo/UBERON_0000055 | denotes | vessel |
| T177 | 351-356 | http://purl.obolibrary.org/obo/UBERON_0000948 | denotes | heart |
| T178 | 351-356 | http://purl.obolibrary.org/obo/UBERON_0007100 | denotes | heart |
| T179 | 351-356 | http://purl.obolibrary.org/obo/UBERON_0015228 | denotes | heart |
| T180 | 351-356 | http://www.ebi.ac.uk/efo/EFO_0000815 | denotes | heart |
| T181 | 571-577 | http://purl.obolibrary.org/obo/UBERON_0000310 | denotes | breast |
| T182 | 683-684 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T183 | 904-905 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
LitCovid-PD-GO-BP
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T14 | 364-375 | http://purl.obolibrary.org/obo/GO_0045333 | denotes | respiration |
| T15 | 364-375 | http://purl.obolibrary.org/obo/GO_0007585 | denotes | respiration |
LitCovid-PD-HP
| Id | Subject | Object | Predicate | Lexical cue | hp_id |
|---|---|---|---|---|---|
| T40 | 377-382 | Phenotype | denotes | cough | http://purl.obolibrary.org/obo/HP_0012735 |
| T41 | 387-394 | Phenotype | denotes | fatigue | http://purl.obolibrary.org/obo/HP_0012378 |
| T42 | 571-584 | Phenotype | denotes | breast cancer | http://purl.obolibrary.org/obo/HP_0003002 |
0_colil
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-30842125-67439 | 705-707 | 30842125 | denotes | 24 |
| 32300971-31115618-67440 | 922-924 | 31115618 | denotes | 28 |
TEST0
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-195-201-67439 | 705-707 | ["30842125"] | denotes | 24 |
| 32300971-18-24-67440 | 922-924 | ["31115618"] | denotes | 28 |
2_test
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-30842125-29373587 | 705-707 | 30842125 | denotes | 24 |
| 32300971-31115618-29373588 | 922-924 | 31115618 | denotes | 28 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T303 | 0-131 | Sentence | denotes | To our knowledge, no diagnostic model based on imaging and clinical features alone has been proposed for the diagnosis of COVID-19. |
| T304 | 132-437 | Sentence | denotes | Our clinical and radiological semantic (CR) models consisted of the following features: total number of GGO with consolidation in the peripheral area, tree-in-bud, offending vessel augmentation in lesions, temperature, heart ratio, respiration, cough and fatigue, WBC count, and lymphocyte count category. |
| T305 | 438-509 | Sentence | denotes | The CR model outperformed the individual clinical and radiologic model. |
| T306 | 510-709 | Sentence | denotes | This result was in accordance with that in previous study in breast cancer, in which the model based on the combination of radiomics features and clinical features achieved a higher performance [24]. |
| T307 | 710-903 | Sentence | denotes | Compared with the radiomics-based model, the extraction of radiological semantic features can overcome the image discrepancy caused by different scanning parameters and/or different CT vendors. |
| T308 | 904-1100 | Sentence | denotes | A previous study [28] also indicated that models based on semantic features determined by an experienced thoracic radiologist slightly outperformed models based on computed texture features alone. |
MyTest
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| 32300971-30842125-29373587 | 705-707 | 30842125 | denotes | 24 |
| 32300971-31115618-29373588 | 922-924 | 31115618 | denotes | 28 |