Model validation and clinical use
death
The areas under ROC curve (AUROC) of LR, GNB and SVM are 0.76, 0.76, 0.66, respectively, and 0.76, 0.76, 0.67 in the test set, which all perform well. LR and GNB had larger AUROC (Fig. Receiver operating characteristic (ROC) curves of LR, GNB and SVM models in predicting hospital mortality. Receiver operating characteristic (ROC) curves of LR, GNB and SVM models in predicting hospital mortality by K-fold cross-validation. The fold value of k is taken as 5 in this study. Decision curve analysis showing the clinical application value of LR, GNB and SVM models in predicting hospital mortality. The y-axis represents the net benefit; The x-axis represents the threshold probability. The blue dotted line represents the net benefit of providing all participants similar treatment, assuming that all would die. The black dotted line represents the assumption that all patients survive. The Red solid, green solid, and blue solid lines represent the net benefit of predicting the risk of in-hospital death according to LR, GNB, and SVM models, respectively. 