Development and prospective validation of a machine learning model to predict mortality in cirrhosis with esophageal variceal bleeding

Figure 2 Performance comparison of machine learning models for predicting one-year mortality in patients with cirrhosis with acute esophageal variceal bleeding. A: Receiver operating characteristic (ROC) curves showing the trade-off between true-positive rate and false-positive rate for each model; B: Precision-recall (PR) curves demonstrating the relationship between precision and recall across different classification thresholds. AUC: Area under the curve; MLP: Multilayer perceptron; SVM: Support vector machine.