Volume : III, Issue : IX, September - 2014

Different Data Mining Techniques Involved in Heart Disease Prediction: A Survey

K. Thenmozhi, P. Deepika, M. Meiyappasamy

Abstract :

Data mining is used to convert through very large amount of data for useful information. In Data Mining, some of the most important and popular techniques are used. Those are Classification, Clustering, Prediction, Sequential patterns and Association Rules. Heart disease is the term that assigns to a large number of medical conditions related to heart. These medical conditions are used to describe the abnormal conditions of health that directly influence the heart and all its parts. This paper aims at analyzing the various data mining techniques introduced in recent years for heart disease prediction.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

K.THENMOZHI, P. DEEPIKA, M.MEIYAPPASAMY Different Data Mining Techniques Involved in Heart Disease Prediction: A Survey International Journal of Scientific Research, Vol : 3, Issue : 9 September 2014

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