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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
305 1678-1686 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T92 1678-1686 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T145 307-308 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T146 1703-1704 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T147 1722-1723 http://purl.obolibrary.org/obo/CLO_0001021 denotes b

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T258 0-201 Sentence denotes The prediction models based on (i) clinical features (C model), (ii) radiological features (R model), and (iii) the combination of clinical features and radiological features (CR model) were developed.
T259 202-285 Sentence denotes ROC analyses for the primary and validation cohort are shown in Table 4 and Fig. 3.
T260 286-478 Sentence denotes The CR model yielded a maximum AUC of 0.986 (95% CI 0.966~1.000) in the primary cohort with the highest accuracy and specificity, which was 0.936 (95% CI 0.866~1.000) in the validation cohort.
T261 479-617 Sentence denotes The AUC for the C model was 0.952 (95% CI 0.988~0.915) and 0.967 (95% CI 0.919~1.000) in the primary and validation cohorts, respectively.
T262 618-738 Sentence denotes For the R model, the AUC of the two cohorts was 0.969 (95% CI 0.940~0.997) and 0.809 (95% CI 0.669~0.948), respectively.
T263 739-798 Sentence denotes Table 4 Performance of the individualized prediction models
T264 799-849 Sentence denotes Primary cohort (n = 98) Validation cohort (n = 38)
T265 850-944 Sentence denotes Models AUC 95% CI Accuracy Specificity Sensitivity AUC 95% CI Accuracy Specificity Sensitivity
T266 945-1024 Sentence denotes C model 0.952 0.915~0.988 0.888 0.894 0.882 0.967 0.919~1.000 0.868 0.859 0.842
T267 1025-1104 Sentence denotes R model 0.969 0.940~0.997 0.929 0.851 1.000 0.809 0.669~0.948 0.684 0.368 1.000
T268 1105-1185 Sentence denotes CR model 0.986 0.966~1.000 0.959 0.957 0.961 0.936 0.866~1.000 0.763 0.789 0.737
T269 1186-1369 Sentence denotes C, R, and CR indicate the predicted model based on clinical features, radiological features, and the combination of clinical features and clinical radiological features, respectively.
T270 1370-1392 Sentence denotes CI confidence interval
T271 1393-1464 Sentence denotes Fig. 3 ROC of the three models in primary and validation cohort curves.
T272 1465-1732 Sentence denotes Comparison of receiver operating characteristic (ROC) curves among the radiological mode (R model), clinical model (C model), and the combination of clinical and radiological model (CR model) for the diagnosis of COVID-19 in the primary (a) and validation (b) cohorts