FEATURE SELECTION METHODS FOR HEART DISEASE PREDICTION WITH DATA MINING TECHNIQUES

Conference: Creative Trends in Engineering and Technology
Author(s): Uma K, M. Hanumanthappa Year: 2016
Grenze ID: 02.CTET.2016.1.5_1 Page: 398-403

Abstract

Heart disease is now turned out most deadly disease throughout the world. To aid early and correct\ndiagnose of heart disease, data mining techniques are used widely. This paper presents, classification techniques applied\nfor prediction of heart disease with different feature selection methods. And correlates the accuracy of each data mining\ntechniques for heart disease prediction.

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CTET - 2016