TY - JFULL AU - Mohammad Darzi and Ali AsgharLiaei and Mahdi Hosseini and HabibollahAsghari PY - 2011/6/ TI - Feature Selection for Breast Cancer Diagnosis: A Case-Based Wrapper Approach T2 - International Journal of Biomedical and Biological Engineering SP - 219 EP - 223 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/2712 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 53, 2011 N2 - This article addresses feature selection for breast cancer diagnosis. The present process contains a wrapper approach based on Genetic Algorithm (GA) and case-based reasoning (CBR). GA is used for searching the problem space to find all of the possible subsets of features and CBR is employed to estimate the evaluation result of each subset. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer (WDBC) dataset. ER -