Design of a fuzzy-based decision support system for coronary heart disease diagnosis

Lahsasna, A. and Ainon, R.N. and Zainuddin, R. and Bulgiba, Awang (2012) Design of a fuzzy-based decision support system for coronary heart disease diagnosis. Journal of Medical Systems. pp. 1-14. ISSN 0148-5598, DOI https://doi.org/10.1007/s10916-012-9821-7.

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Abstract

In the present paper, a fuzzy rule-based system (FRBS) is designed to serve as a decision support system for Coronary heart disease (CHD) diagnosis that not only considers the decision accuracy of the rules but also their transparency at the same time. To achieve the two above mentioned objectives, we apply a multi-objective genetic algorithm to optimize both the accuracy and transparency of the FRBS. In addition and to help assess the certainty and the importance of each rule by the physician, an extended format of fuzzy rules that incorporates the degree of decision certainty and importance or support of each rule at the consequent part of the rules is introduced. Furthermore, a new way for employing Ensemble Classifiers Strategy (ECS) method is proposed to enhance the classification ability of the FRBS. The results show that the generated rules are humanly understandable while their accuracy compared favorably with other benchmark classification methods. In addition, the produced FRBS is able to identify the uncertainty cases so that the physician can give a special consideration to deal with them and this will result in a better management of efforts and tasks. Furthermore, employing ECS has specifically improved the ability of FRBS to detect patients with CHD which is desirable feature for any CHD diagnosis system.

Item Type:	Article
Funders:	UNSPECIFIED
Uncontrolled Keywords:	Coronary heart disease, Fuzzy rule-based system, Transparency, Data mining, Medical diagnosis
Subjects:	R Medicine
Divisions:	Faculty of Medicine
Depositing User:	Awang Bulgiba Awang Mahmud
Date Deposited:	08 May 2012 07:16
Last Modified:	26 Aug 2019 06:38
URI:	http://eprints.um.edu.my/id/eprint/3050

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