Fig. 1From: Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkersA flowchart illustrating the regulatory model of patient enrollment and analysis workflow. Following the exclusion of 83,829 patients, 3535 patients were included from three databases. MIMIC-IV database: Medical Information Mart for Intensive Care-IV database, eICU-CRD: eICU Collaborative Research Database; AMDS: Amsterdam University Medical Centers database; ROC: receiver operating characteristic curve; DCA: Decision curve analysisBack to article page