Heart Diseases Prediction using Data Mining and its Techniques- A Survey

Abstract

A process or way toward analyzing patterns of data as indicated by different points of view for classification into meaningful data, which is gathered and amassed in likely manner, e.g. data warehouse for effective analysis, data mining algorithms, enabling business decisions to cut expenses and increase income. Areas including business, retail system, medical, sciences and engineering are indicating the worth of data mining. In this paper, ways to predict heart diseases using different algorithms/techniques are presented. To explore areas of data mining in health care is the key objective of this research. Medical industry is capable to produce data of different types i.e. non-real time or real-time and the amount of such data is increasing day by day. Due to the daily increment of medical data, medical industry is capable to provide huge contribution in the area of data mining which in result gives prediction of diseases and improves quality of services to the patients. This paper shows the combination and analysis of neural network and data mining, Fuzzy and genetic algorithm, data mining and machine learning.