Enhanced decision tree algorithm using genetic algorithm for heart disease prediction
by Santosh Kumar; G. Sahoo
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 14, No. 1/2, 2018

Abstract: In today's present scenario, heart disease has greater impact on our lives and identified fatal due to its high mortality rate. The diagnosis of heart disease is more challenging due to its vulnerability. Gone to limitation of previous work of literature survey, enhanced decision tree algorithm is introduced and applied on University of California, Irvine data sets. In order to predict heart disease, enhanced decision tree algorithm generates the decision rules which are later optimised by genetic algorithm. By then we examine the methods and operators of the algorithm. Finally our proposed algorithm is compared with decision tree (C4.5) and support vector machine algorithm, the proposed algorithm shows high accuracy, and its simplicity makes ideal for pattern recognition applications.

Online publication date: Tue, 09-Jan-2018

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