Intelligent Breast Cancer Prediction Model Using Data Mining Techniques

Breast cancer is the most common malignant tumor for women. In the past twenty years, the incidence of breast cancer continues to rise. Then, the diagnosis and treatment of the breast cancer have become an extremely urgent work to do. In this study, we intend to build a diagnostic model of breast cancer by using data mining techniques. A feature selection method, INTERACT is applied to select relevant features for breast cancer diagnosis, and the support vector machine is used to build the classification model. The results of the experiments show that the accuracy of the diagnostic model improves a lot by using feature selection method, and at the same time, nine relevant and important features for breast cancer diagnosis are chosen out. The diagnostic model for breast cancer built in this study has good generalization.