%0 Journal Article
	%A Mohammad Darzi and  Ali AsgharLiaei and Mahdi Hosseini and  HabibollahAsghari
	%D 2011
	%J International Journal of Biomedical and Biological Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 53, 2011
	%T Feature Selection for Breast Cancer Diagnosis: A Case-Based Wrapper Approach
	%U https://publications.waset.org/pdf/2712
	%V 53
	%X 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.
	%P 220 - 223