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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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