INTEGRATION OF ROUGH SET THEORY AND GENETIC ALGORITHM FOR OPTIMAL FEATURE SUBSET SELECTION ON DIABETIC DIAGNOSIS

INTEGRATION OF ROUGH SET THEORY AND GENETIC ALGORITHM FOR OPTIMAL FEATURE SUBSET SELECTION ON DIABETIC DIAGNOSIS

Diabetic diagnosis is an important research in health care domain to analyze relevant microorganisms at an earlier stage. Due to large growth in world’s population, feature subset selection model receives a great deal in any domain of research and also a reliable tool for diabetic diagnosis. Several...

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Bibliographic Details
Main Authors: K Thangadurai, N Nandhini
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2018-01-01
Series:ICTACT Journal on Communication Technology
Subjects:
Diabetic Diagnosis
Risk Factors Analysis
Rough Set Theory
Feature Selection
Optimized Genetic Algorithm
Selection
Crossover
Mutation
Optimal Feature Subset Selection
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3292

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http://ictactjournals.in/ArticleDetails.aspx?id=3292

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