Medical application of artificial immune recognition system (AIRS): Diagnosis of atherosclerosis from carotid artery Doppler signals
Küçük Resim Yok
Tarih
2007
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
PERGAMON-ELSEVIER SCIENCE LTD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study was conducted to distinguish between atherosclerosis and healthy subjects. Hence, we have employed the maximum envelope of the carotid artery Doppler sonogrants derived from Fast Fourier Transformation-Welch method and Artificial Immune Recognition System (AIRS). The fuzzy appearance of the carotid artery Doppler signals makes physicians suspicious about the existence of diseases and sometimes causes false diagnosis. Our technique gets around this problem using AIRS to decide and assist the physician to make the final judgment in confidence. AIRS has reached 99.29% classification accuracy using 10-fold cross validation. Results show that the proposed method classified Doppler signals successfully. (c) 2006 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
atherosclerosis, carotid artery, fast Fourier transformation, Welch, artificial immune systems, artificial immune recognition system
Kaynak
COMPUTERS IN BIOLOGY AND MEDICINE
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
37
Sayı
8
