Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease
Joint Authors
Mohammadpour, Reza Ali
Abedi, Seyed Mohammad
Bagheri, Somayeh
Ghaemian, Ali
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The aim of this study was to determine the accuracy of fuzzy rule-based classification that could noninvasively predict CAD based on myocardial perfusion scan test and clinical-epidemiological variables.
This was a cross-sectional study in which the characteristics, the results of myocardial perfusion scan (MPS), and coronary artery angiography of 115 patients, 62 (53.9%) males, in Mazandaran Heart Center in the north of Iran have been collected.
We used membership functions for medical variables by reviewing the related literature.
To improve the classification performance, we used Ishibuchi et al.
and Nozaki et al.
methods by adjusting the grade of certainty CFj of each rule.
This system includes 144 rules and the antecedent part of all rules has more than one part.
The coronary artery disease data used in this paper contained 115 samples.
The data was classified into four classes, namely, classes 1 (normal), 2 (stenosis in one single vessel), 3 (stenosis in two vessels), and 4 (stenosis in three vessels) which had 39, 35, 17, and 24 subjects, respectively.
The accuracy in the fuzzy classification based on if-then rule was 92.8 percent if classification result was considered based on rule selection by expert, while it was 91.9 when classification result was obtained according to the equation.
To increase the classification rate, we deleted the extra rules to reduce the fuzzy rules after introducing the membership functions.
American Psychological Association (APA)
Mohammadpour, Reza Ali& Abedi, Seyed Mohammad& Bagheri, Somayeh& Ghaemian, Ali. 2015. Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057933
Modern Language Association (MLA)
Mohammadpour, Reza Ali…[et al.]. Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057933
American Medical Association (AMA)
Mohammadpour, Reza Ali& Abedi, Seyed Mohammad& Bagheri, Somayeh& Ghaemian, Ali. Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057933
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057933