Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer

Figure 2 Prediction of the 3-year survival of patients using the preoperative artificial neural network. In the training set, the predictive accuracy rate was 77.3%. The sensitivity and specificity of the centralized training model were 88.5% and 50.1%, respectively. The accuracy of the testing set model for survival prediction was 75.2%. The sensitivity and specificity of the test set model were 86.5% and 43.1%, respectively.