PMC:7116472 / 46384-46840 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"801","span":{"begin":178,"end":187},"obj":"Disease"}],"attributes":[{"id":"A801","pred":"tao:has_database_id","subj":"801","obj":"MESH:D003643"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Table 3 Model discrimination in derivation and validation cohorts\nModel Derivation cohort Validation cohort\nModel AUROc (95% CI) Brier score AUROc (95% CI) Brier score\n4C Mortality Score 0.786 (0.781 to 0.790) 0.170 0.767 (0.760 to 0.773) 0.171\nMachine learning comparison* 0.796 (0.786 to 0.807) 0.191 0.779 (0.772 to 0.785) 0.197\nAUROC=area under receiver operator curve; CI=confidence interval.\n*Gradient boosting decision tree (XGBoost)."}

{"project":"LitCovid-sentences","denotations":[{"id":"T331","span":{"begin":0,"end":66},"obj":"Sentence"},{"id":"T332","span":{"begin":67,"end":110},"obj":"Sentence"},{"id":"T333","span":{"begin":111,"end":174},"obj":"Sentence"},{"id":"T334","span":{"begin":175,"end":255},"obj":"Sentence"},{"id":"T335","span":{"begin":256,"end":346},"obj":"Sentence"},{"id":"T336","span":{"begin":347,"end":412},"obj":"Sentence"},{"id":"T337","span":{"begin":413,"end":456},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table 3 Model discrimination in derivation and validation cohorts\nModel Derivation cohort Validation cohort\nModel AUROc (95% CI) Brier score AUROc (95% CI) Brier score\n4C Mortality Score 0.786 (0.781 to 0.790) 0.170 0.767 (0.760 to 0.773) 0.171\nMachine learning comparison* 0.796 (0.786 to 0.807) 0.191 0.779 (0.772 to 0.785) 0.197\nAUROC=area under receiver operator curve; CI=confidence interval.\n*Gradient boosting decision tree (XGBoost)."}