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Fig. 1 | European Journal of Medical Research

Fig. 1

From: Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

Fig. 1

A 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 analysis

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