Comparison of three data mining models for prediction of advanced schistosomiasis prognosis in the Hubei province

摘要

BackgroundIn order to better assist medical professionals, this study aimed to develop and compare the performance of three models—a multivariate logistic regression (LR) model, an artificial neural network (ANN) model, and a decision tree (DT) model—to predict the prognosis of patients with advanced schistosomiasis residing in the Hubei province.