Construction of an SVM-RFE based outcome prediction model.
REGRESSION
(A) Models were constructed using 18 variables relevant for outcome prediction according to SVM-RFE. (B) For the training set, test set, and overall set, SVM models constructed based on filtered variables performed well. (C) These 18 screened variables showed good predictive power for outcome based on univariate logistic regression analysis. (D) Clinical application of the SVM model was determined by a decision curve analysis.