Table 1.
Baseline characteristics of patients in the training and test samples.
Table 2.
Univariate analysis of predictive factors of severe acute pancreatitis (SAP) in the training sample.
Table 3.
Multivariate regression analyses.
Fig 1.
A decision tree model for the prediction of severe acute pancreatitis (SAP) generated by classification and regression tree (CART) analysis in the training set of 402 patients.
Table 4.
Diagnostic values of various predictors in the tree model.
Fig 2.
Validation of the test set of the tree model obtained by CART analysis.
Fig 3.
Patients stratified by the tree model in the training and the test groups.
Fig 4.
Receiver operating characteristic curves for classification and regression tree (CART model) and Bedside Index for Severity in Acute Pancreatitis(BISAP model).