Fig. 6 | Scientific Reports

Fig. 6

From: Development and validation of an interpretable machine learning model for early prediction in patients with diabetes and sepsis

Fig. 6The alternative text for this image may have been generated using AI.

ROC Curve Analysis for the 28-day survival rate prediction model of a random subset (65%) of the data. This model’s performance was internally validated using a random subset of 65% of the data. AUC (area under the curve): The AUC of the ROC curve is 0.851. Sensitivity, which is the model’s ability to correctly identify patients who will survive, is plotted on the y-axis. Specificity, which is the model’s ability to correctly identify patients who will not survive, is plotted on the x-axis. At a given threshold, the model demonstrates a sensitivity of 0.704 with a 95% CI ranging from 0.714 to 0.850.

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