A Risk Prediction Model for Adverse Events after Surgical Valve Replacement

Figure 3

The ROC curve for the composite endpoints risk nomogram. The x-axis represents the specificity of composite endpoints by the nomogram and the y-axis represents the sensitivity of composite endpoints. (a) ROC of training set. AUC training = 0.73 (95% CI: 0.65–0.81); (b) ROC of validation set. AUC validation = 0.75 (95% CI: 0.64–0.86). ROC, receiver operating characteristic; AUC, area under the ROC curve.

(a)

(b)