Gr-Anfis Data Mining Approach For Envisage Heart Attack Disease

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  2. January 2018
D. Richard

Gr-Anfis Data Mining Approach For Envisage Heart Attack Disease

Keywords : Feature selection -filter approach, Gain Ratio, GR-ANFIS, J4.8 decision tree


Abstract

Heart disease is the most important reason of death in the world over the past 20 years. Researchers have been using a number of data mining techniques to help health care professionals in the analysis of heart disease. Filter selection used for data reduction can be classified into three types are wrapper, filter and embedded method. These filter approach is independent of the learning algorithm, computationally simple fast and scalable. GR-ANFIS is one of the successful data mining techniques used and most research has useful J4.8 decision tree, based on Gain Ratio.

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