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Fig. 2 | European Journal of Medical Research

Fig. 2

From: Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation

Fig. 2

Receiver operating characteristic curves and area under the precision recall curve showing 28-day death of SIC patients predictive performance of two severity scoring and four machine learning algorithms based on the selected features in the internal validation set (MIMIC-III) (A, D), MIMIC-IV (B, E), and eICU-CRD (C, F) database. LR logistic regression, NG naive bayes, SVM support vector machine, SOFA sequential organ failure assessment, SAPS II simplified acute physiology score II, SIC sepsis-induced coagulopathy, AUC area under the receiver operating characteristic curve

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