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Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease
- Source :
- Computational and Mathematical Methods in Medicine, Vol 2015 (2015), Computational and Mathematical Methods in Medicine
- Publication Year :
- 2015
- Publisher :
- Hindawi Limited, 2015.
-
Abstract
- 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 certaintyCFjof 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.
- Subjects :
- Adult
Male
medicine.medical_specialty
Fuzzy classification
Article Subject
CAD
Perfusion scanning
Coronary Artery Disease
Iran
Coronary Angiography
lcsh:Computer applications to medicine. Medical informatics
Fuzzy logic
General Biochemistry, Genetics and Molecular Biology
Machine Learning
Coronary artery disease
Myocardial perfusion imaging
Fuzzy Logic
Internal medicine
medicine
Humans
Computer Simulation
Aged
Fuzzy rule
General Immunology and Microbiology
medicine.diagnostic_test
business.industry
Applied Mathematics
Models, Cardiovascular
Myocardial Perfusion Imaging
Pattern recognition
General Medicine
Middle Aged
medicine.disease
Stenosis
Cross-Sectional Studies
Modeling and Simulation
Cardiology
lcsh:R858-859.7
Female
Artificial intelligence
business
Research Article
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2015
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....bb5c0c173c5750a2c88e1206c693f3d2