Abstract #3487

Comparing the performance of optimized support vector machine model in predicting efficacy of chemo-radiotherapy for advanced rectal cancer with and without a paired-difference up-sampling strategy under small sample size

Jie Kuang¹, QingLei Shi², Gaofeng Shi¹, Xu Yan³, and LI Yang¹

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

In this study, we evaluated the effect of paired-difference analysis (PDA) up-sampling strategy on the performance of optimized support vector machine model (SVM) in predicting efficacy of chemo-radiotherapy for advanced rectal cancer. A higher accuracy and robustness was gained for the model adopted the PDA method in predicting the efficacy of treatment, which means that the PDA method can be used as an up-sampling strategy in improving the performance of some machine learning models.

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