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Formerly Journal of Turgut Ozal Medical Center - ISSN 1300-1744

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Myocardial Infarction Classification with Support Vector Machine Models (p. 221-4)

Myocardial Infarction Classification with Support Vector Machine Models (p. 221-4)

Emek Güldoğan1, Jülide Yağmur2, Saim Yoloğlu1, Musa Hakan Asyalı3, Cemil Çolak1
1İnönü University, Faculty of Medicine, Department of Biostatistics and Medical Informatics, Malatya, Turkey
2İnönü University, Faculty of Medicine, Department of Cardiology, Malatya, Turkey
3International Antalya University, Faculty of Engineering, Department of Biomedical Engineering, Antalya, Turkey

Aim: Support vector machines (SVM) is one of the classification methods that aims to find the best hyper-plane separating a space into two parts with known positive and negative samples. The goal of this study is to classify myocardial infarction (MI) using SVM models.
Material and Methods: The data used in the MI classification contains information related to 184 individuals which is randomly taken from the database created for the Department of Cardiology, Faculty of Medicine, Inonu University. Estimated SVMs are models generated from the SVM-linear and SVM-Radial Based kernel functions.
Results: In this study, 90 individuals of the study group (48.9%) are MI patients, while 94 (51.1%) patients are not. The classification success rate is 83.70% for SVM-linear model and 90.76% for the SVM-Radial Based model.
Conclusion: In this study, it is observed that SVM-Radial based model presented a better classification performance than the linear SVM model. The use of SVM models based on various kernel type functions can improve disease classification performance.
Keywords: Support Vector Machines; Myocardial Infarction; Classification.


doi: 10.7247/jtomc.2014.2671



Annals of Medical Research is the scientific official journal of the Inonu University Faculty of Medicine. It is published monthly. The essential aim of the Annals of Medical Research is to publish scientifically high quality clinical and experimental research articles on fields of medicine which can contribute to the literature data. In addition, review articles, case reports, editorials, letters to the editors and manuscripts on publication ethics and medical history, which can contribute to the education and practices of physicians and health sector professionals within the scope of the journal’s target audience and which can increase the level of scientific communication between the authors and readers, are included in the scope of the journal.



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