Classification of Heart Disease Using K- Nearest Neighbor 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. Nearest neighbor (KNN) very simple, most popular, highly efficient and effective algorithm for pattern recognition.KNN straight forward classifier, samples are classified based on their nearest neighbor. Medical bases high volume nature. If set contains redundant irrelevant attributes, may produce less accurate result. Heart disease leading cause death INDIA. Andhra Pradesh heart was mortality accounting 32%of all deaths, rate as Canada (35%) USA.Hence there need define decision support system helps clinicians decide take precautionary steps. this paper we propose new which combines KNN with genetic classification. Genetic algorithms perform global search complex large multimodal landscapes provide optimal solution. Experimental results shows our enhance accuracy diagnosis disease.