Effects of Discretization on Determination of Coronary Artery Disease Using Support Vector Machine

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Küçük Resim

Tarih

2009

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

In this paper, the effect of discretization on determination of coronary artery disease using exercise stress test data by support vector machine classification method is investigated. The study dataset is obtained from cardiology department of Meram faculty of medicine including 480 patients having 23 features. Four classification models are composed. In the first model, the data is classified simply by normalizing it into [-1,1] range. In the second, third and fourth models, the data is classified by employing entropy-MDL, equal width and equal frequency discretization methods on it respectively. Support vector machine is used as the classifier for all classification models. The results show that classification performance of the model implemented by entropy-MDL discretization has the best value.

Açıklama

ETRI;KISTI;AICIT
2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 -- 24 November 2009 through 26 November 2009 -- Seoul -- 79215

Anahtar Kelimeler

Coronary artery disease, Discretization, Exercise stress test, Support vector machines

Kaynak

ACM International Conference Proceeding Series

WoS Q Değeri

Scopus Q Değeri

N/A

Cilt

403

Sayı

Künye

Babaoğlu, İ., Fındık, O., Ülker, E., (2009). Effects of Discretization on Determination of Coronary Artery Disease Using Support Vector Machine. ACM International Conference Proceeding Series, (403), 726-729. Doi: 10.1145/1655925.1656057