Classification of Heart Disease Using Naïve Bayes and Genetic Algorithm

摘要: Data mining techniques have been widely used to mine knowledgeable information from medical data bases. In Classification is a supervised learning that can be design models describing important classes, where class attribute involved in the construction of classifier. Naive Bayes very simple, most popular, highly efficient and effective algorithm for pattern recognition. Medical bases are high volume nature. If set contains redundant irrelevant attributes, classification may produce less accurate result. Heart disease leading cause death India as well different parts world. Hence there need define decision support system helps clinicians take precautionary measures. this paper we propose new which combines with genetic classification. Experimental results shows our enhance accuracy diagnosis heart disease.