PMC:7796041 / 8740-9075 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"197","span":{"begin":57,"end":67},"obj":"Disease"}],"attributes":[{"id":"A197","pred":"tao:has_database_id","subj":"197","obj":"MESH:D001145"}],"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":"To evaluate the impact of biomarkers on the incidence of arrhythmia, univariate logistic regression modeling was performed. The AUC-values und the Youden index for identifying the optimal cut-off value were computed for each biomarker, respectively [15]. Confidence intervals of the AUC-values were calculated according to DeLong [16]."}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T40","span":{"begin":57,"end":67},"obj":"Phenotype"}],"attributes":[{"id":"A40","pred":"hp_id","subj":"T40","obj":"http://purl.obolibrary.org/obo/HP_0011675"}],"text":"To evaluate the impact of biomarkers on the incidence of arrhythmia, univariate logistic regression modeling was performed. The AUC-values und the Youden index for identifying the optimal cut-off value were computed for each biomarker, respectively [15]. Confidence intervals of the AUC-values were calculated according to DeLong [16]."}

{"project":"LitCovid-sentences","denotations":[{"id":"T77","span":{"begin":0,"end":123},"obj":"Sentence"},{"id":"T78","span":{"begin":124,"end":254},"obj":"Sentence"},{"id":"T79","span":{"begin":255,"end":335},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"To evaluate the impact of biomarkers on the incidence of arrhythmia, univariate logistic regression modeling was performed. The AUC-values und the Youden index for identifying the optimal cut-off value were computed for each biomarker, respectively [15]. Confidence intervals of the AUC-values were calculated according to DeLong [16]."}