Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression

Figure 1

Performance measures of standard linear SVR and Cox for different subsets of features. Horizontal axis shows the number of features included in the model. (a), (b), and (c): performance measures of univariate method for BC dataset. (d), (e), and (f): performance measures of RFE for BC dataset. (g), (h), and (i): performance measures of univariate method for CD dataset. (j), (k), and (l): performance measures of RFE for CD dataset. BC dataset’s abbreviations: M: metastasis, P: PR status, H: HER2, L: number of involved lymph nodes, A: age, T: tumor size, TB: histological type of BC, MS: marital status, E: ER status, TS: type of surgery, and F: family history. CD dataset’s abbreviations: S: sex, P: perforation of colon, A: age, AN: adherence to nearby organs, O: obstruction of colon by tumor, TS: time from surgery to registration, T: treatment, D: differentiation of tumor, E: extent of local spread, and N: number of lymph nodes.