Establish and validate an artificial neural networks model used for predicting portal vein thrombosis risk in hepatitis B-related cirrhosis patients

Figure 3 According to the artificial neural network model, the patient training and validation sets are divided into two risk layers as follows: High and low through Kaplan–Meier method. A: The Kaplan–Meier (KM) curve for the risk of the occurrence of portal vein thrombosis (PVT) through the artificial neural network (ANN) model within three years in the training group; B: The KM curve for the risk of the occurrence of PVT through the ANN model within five years in the training group; C: The KM curve for the risk of the occurrence of PVT through the ANN model within three years in the validation group; D: The KM curve for the risk of the occurrence of PVT through the ANN model within five years in the validation group.