A survey on heart disease prediction using data mining techniques

Abstract

Data mining is the process of extracting useful information from enormous database. Medical data is information rich with large amount of data that holds sensitive information pertaining to patients and their medical conditions. The large amount of data generated for prediction of heart disease are too complicate to be processed and analyzed by traditional methods. Applying data mining techniques to heart disease treatment data can provide a reliable performance in diagnosing heart disease. Data mining algorithms, are capable of improving the quality of prediction and diagnosing disease. The objective of this research work is to predict more accurately the presence of heart disease with reduced number of attributes. We evaluate the data mining techniques for finding frequent patterns based on cost, performance, speed and accuracy.