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To construct a radical basis function (RBF) artificial neural networks (ANNs) model to predict the incidence of acute pancreatitis (AP)-induced portal vein thrombosis.The analysis included 353 patients with AP who had admitted between January 2011 and December 2015. RBF ANNs model and logistic regression model were constructed based on eleven factors relevant to AP respectively. Statistical indexes...
The accurate prediction of portosplenomesenteric vein thrombosis (PVT) in patients with acute pancreatitis(AP) is very important but may also be difficult because of our insufficient understanding of the characteristics of AP-induced PVT. The purpose of this study is to design a decision tree model that provides critical factors associated with PVT using an approach that makes use of classification...
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