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.