Fig. 5 | Scientific Reports

Fig. 5

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

Fig. 5The alternative text for this image may have been generated using AI.

Receiver operating characteristic (ROC) curve analysis for the 28-day survival rate nomogram. AUC, area under the curve: The AUC of the ROC curve is 0.833, indicating a high discriminatory power of the model. An AUC of 1 represents perfect discrimination, while an AUC of 0.5 suggests no discriminative ability. Sensitivity and Specificity: The curve shows the trade-off between sensitivity and specificity. Sensitivity, or the true positive rate, is plotted on the y-axis, while specificity, or the true negative rate, is plotted on the x-axis. Model Performance: The model demonstrates a balance between sensitivity and specificity, with a notable sensitivity of 0.704 (95% CI: 0.714 to 0.850) at a given threshold.

Back to article page