Heart Disease Prediction System using Associative Classification and Genetic Algorithm

摘要: Associative classification is a recent and rewarding technique which integrates association rule mining to model for prediction achieves maximum accuracy. classifiers are especially fit applications where accuracy desired prediction. There many domains such as medical the of desired. Heart disease single largest cause death in developed countries one main contributors burden developing countries. Mortality data from registrar general India shows that heart major India, Andhra Pradesh coronary about 30%of deaths rural areas. Hence there need develop decision support system predicting patient. In this paper we propose efficient associative algorithm using genetic approach The motivation discovery high level rules discovered highly comprehensible, having predictive interestingness values. Experimental Results show most classifier help best even helps doctors their diagnosis decisions.