International Journal of Engineering Research in Electronics and Communication Engineering

Prediction of Heart Disease Using Hybrid Algorithm

Author : V.C.N.D.Sindhu sha ¹ R.Sai Shankar ² M.Sribala ³

Date of Publication :20th April 2018

Abstract: Classification is normally supervised learning method and helps to classify the data into classes and design models, where the attribute of class plays an important role for the construction of the classifier. Nearest neighbor (KNN) is more easy and simple, effective, efficient and popular algorithm for classification. KNN is a straight forward classifier and classification is done based on its nearest neighbour. For example clinical databases like that. Classification methods produce inaccurate results; hence this algorithm helps to produce accurate results for this. In India Heart disease is one of the leading cause.is 32% and in Canada it is 35%.By keeping in the view of all these considerations a perfect system that is highly decision supportive is required. Here we proposed a hybrid algorithm which is a combination of evolutionary algorithm Genetic algorithm in combination with KNN for good accuracy and perfect classification.Genetic Algorithms are used perform global search for fitness solutions and KNN used to classify them.

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