Cost Effective Approach on Feature Selection Using Genetic Algorithms and Fuzzy logic for Diabetes Diagnosis
Abstract
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...
Paper Details
Title
Cost Effective Approach on Feature Selection Using Genetic Algorithms and Fuzzy logic for Diabetes Diagnosis
Published Date
Feb 28, 2011
Volume
2
Issue
1
Pages
1 - 10
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History