Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems

Küçük Resim Yok

Tarih

2007

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

PERGAMON-ELSEVIER SCIENCE LTD

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, we have employed the maximum envelope of the carotid artery Doppler sonograms derived from Fast Fourier Transformation-Welch Method and artificial immune systems in order to distinguish between atherosclerosis and healthy subjects. In this classification problem, the used artificial immune system has reached to 99.33% classification accuracy using 10-fold Cross Validation (CV) method with only two system units which reduced classification time considerably. This success shows that whereas artificial immune systems is a new research area, one can utilize from this new field to reach high performance for his problem. (c) 2006 Elsevier Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

atherosclerosis, carotid artery, fast Fourier transformation, Welch, artificial immune systems

Kaynak

EXPERT SYSTEMS WITH APPLICATIONS

WoS Q Değeri

Q1

Scopus Q Değeri

Q1

Cilt

33

Sayı

3

Künye