In recent ten years, heart failure becomes the leading cause of death in whole world which is estimated by World Health Organization (WHO). Several types of heart diseases are expanding day by day because of way of life, genetic problem, blood pressure, cholesterol level, pulse rate etc. So the diagnose of disease plays important role for the prevention of heart related problems. Researchers received different methods to analyze it. These days the utilization of system innovation in the fields of medication zone, finding treatment of disease and patient activity has exceptionally expanded. The aim of this paper is to design a KNN based classification approach for prediction of the Heart failure which assists the doctors to identify disease easily. It is an intelligent classification approach because it provides accurate result. To accomplish the diagnosis process taken different risk factor, signs and symptoms from patients and experts. Classification approach consists of two algorithms such as KNN classification algorithm and Decision tree algorithm. The result of classification shows 86% accuracy by using n no. of neighbors in this approach.

Classification, KNN, Decision Tree, cross validation

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