Data mining is the analytical process to explore specific data from large volume of data. It is a process that finds previously unknown patterns and trends in databases. This information can be further used to build predictive models. The main objective of our paper is to learn data mining techniques which can be used in the prediction of heart diseases using any data mining tool. Heart is the most vital part of the human body as human life depends upon efficient working of heart. A Heart disease is caused due to narrowing or blockage of coronary arteries. This is caused by the deposition of fat on the inner walls of the arteries and also due to build up cholesterol. Thus, a beneficial way to predict heart diseases in health care industry is an effective and efficient heart disease prediction system. This system will find human interpretable patterns and will determine trends in patient records to improve health care. In this paper, Random Forest technique is applied to enhance the accuracy of the system.

Data Mining Technique, KNN, Random Forest, Heart Diseases

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