Abstract #3489

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

Jie Kuang¹, Xu Yan², Gaofeng Shi¹, QingLei Shi³, and LI Yang¹

¹The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, ²Siemens Healthcare, MR Scientific Marketing, Shanghai, China, ³Siemens Healthcare, MR Scientific Marketing, Beijing, China

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.

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