Abstract
Abstract The health care industries have a very large amount of dataset that contains some abstract knowledge or information which is very useful for creating good decisions. To provide good Results on data, highly advanced data mining algorithms are used. This Proposed System predicts the chances of getting heart disease in advance. In this System, a heart disease prediction using machine learning is developed using KNN and decision Tree algorithm for guessing the risk level of heart disease. The Proposed System uses 13 medical parameter such as age, sex, fast blood sugar, chest pain, etc., The results of the proposed system gives the chances of getting heart disease in advance in terms of percentages and also displays the accuracy level of the above two algorithms.
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