The heart is an operating system of the human body .If it does not function properly it will affect other parts also. Heart disease problem describes a range of conditions that affect your heart. The existing system uses Support Vector Machine (SVM), it propose a system for heart disease prediction. The method will help doctor to explore their data and predict heart disease accurately. The Hospitals do not provide the same quality of service even though they provide the same type of service.

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... Proposed system includes the following phases: Pre-Processing of the input data with Min-Max scalar and Normalization ,Feature extraction by PSO algorithm, Classification of data by K-Nearest Neighbour. In comparison with the existing approach ,the proposed approach significantly improves the accuracy from 51% to 76.66%.