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Fig. 5 | Journal of Translational Medicine

Fig. 5

From: Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost

Fig. 5

Decision curve analysis (DCA) of the three prediction models. The net benefit curves for the three prognostic models are shown. X-axis indicates the threshold probability for critical care outcome and Y-axis indicates the net benefit. Solid green line = XGboost model, solid red line = traditional logistic model, solid blue line = SAPS-II score mode. The preferred model is the XGboost model, the net benefit of which was larger over the range of traditional logistic model and SAPS-II score model

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