Date of Publication :9th August 2017

Abstract: There are huge amount of data in the medical industry which requires prediction and analysis so that right decisions can be made and help in proper analysis. As the data is large and the decision made by the doctor may not be accurate which may result in failure in some cases and can sometimes put someone's life at stake. Data mining in healthcare is an intelligent diagnostic tool. Heart disease is the leading cause of death in the world over the past 10 years.29.2% of deaths are due to Cardiovascular Diseases(CVD). Researchers have been using several data mining techniques to help healthcare professionals in the diagnosis of heart disease. Decision Tree is one of the successful data mining techniques used. However, most researchers have applied KNN . Number of experiments has been conducted to compare the performance of predictive data mining technique on the same dataset and the outcome reveals that Decision Tree outperforms other predictive methods like KNN, Neural Networks.This research paper intends to provide the knowledge that which data mining technique gives better accuracy and should be used in Heart Disease analysis.

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