A new supervised classification algorithm in artificial immune systems with its application to carotid artery Doppler signals to diagnose atherosclerosis

Computer Methods and Programs in Biomedicine

Volumn 88, Issue 3, 2007, Pages 246-255

  Özşen, Seral ^a   Kara, Sadik ^b   Latifoǧlu, Fatma ^b   Güneş, Salih ^a  

^a SELCUK UNIVERSITY   (Turkey)

^b ERCIYES UNIVERSITY   (Turkey)

Author keywords

Artificial immune systems; Atherosclerosis; Carotid artery Doppler signals; Supervised learning

Indexed keywords

ALGORITHMS; DOPPLER EFFECT; REGRESSION ANALYSIS; VIRTUAL REALITY;

ARTIFICIAL IMMUNE SYSTEMS; ATHEROSCLEROSIS; CAROTID ARTERY DOPPLER SIGNALS;

IMMUNOLOGY;

ADULT; ARTICLE; ATHEROSCLEROSIS; CAROTID ARTERY; CLASSIFICATION ALGORITHM; COLOR ULTRASOUND FLOWMETRY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; FEMALE; HUMAN; IMMUNE SYSTEM; LEARNING; MAJOR CLINICAL STUDY; MALE; NERVE CELL NETWORK; PARAMETER; SIGNAL DETECTION; SYSTEM ANALYSIS;

ALGORITHMS; ATHEROSCLEROSIS; CAROTID ARTERIES; HUMANS; IMMUNE SYSTEM; ULTRASONOGRAPHY, DOPPLER;

EID: 36148934887     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2007.09.002     Document Type: Article

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