PMC:7160614 / 22477-22824 JSONTXT

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T145","span":{"begin":151,"end":152},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":"iological features (CR model) were developed. ROC analyses for the primary and validation cohort are shown in Table 4 and Fig. 3. 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. The AUC for the C model "}

{"project":"LitCovid-sentences","denotations":[{"id":"T259","span":{"begin":46,"end":129},"obj":"Sentence"},{"id":"T260","span":{"begin":130,"end":322},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"iological features (CR model) were developed. ROC analyses for the primary and validation cohort are shown in Table 4 and Fig. 3. 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. The AUC for the C model "}