Predicting the efficacy of chemo-radiotherapy for advanced rectal cancer using support vector machine model and a paired-difference up-sampling strategy under small sample size

In this study, we proposed a paired-difference analysis (PDA) method to up-sample the training data, which can improve training efficiency of support vector machine (SVM) model with a small sample size. Through optimizing in normalization, dimensional reduction, and features selection steps, a high accuracy was achieved in predicting the efficacy of chemo-radiotherapy for advanced rectal cancer, which means that valuable information may be provided and showed in this clinical situation.