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Cost Effective Approach on Feature Selection Using Genetic Algorithms and Fuzzy logic for Diabetes Diagnosis
2011
International Journal of Soft Computing
A way to enhance the performance of a model that combines genetic algorithms and fuzzy logic for feature selection and classification is proposed. Early diagnosis of any disease with less cost is preferable. Diabetes is one such disease. Diabetes has become the fourth leading cause of death in developed countries and there is substantial evidence that it is reaching epidemic proportions in many developing and newly industrialized nations. In medical diagnosis, patterns consist of observable
doi:10.5121/ijsc.2011.2101
fatcat:q4ugdt34ovgydew6b4v2sz2qpy