Title: Enhanced decision tree algorithm using genetic algorithm for heart disease prediction

Authors: Santosh Kumar; G. Sahoo

Addresses: Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India ' Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India

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.

Keywords: C4.5; cardiovascular disease; CVD; GA; genetic algorithm; heart disease; SVM.

DOI: 10.1504/IJBRA.2018.089199

International Journal of Bioinformatics Research and Applications, 2018 Vol.14 No.1/2, pp.49 - 69

Received: 21 Nov 2016
Accepted: 09 May 2017
Published online: 09 Jan 2018 *

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