Title
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems
Abstract
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.
Year
DOI
Venue
2007
10.1016/j.eswa.2006.05.034
Expert Syst. Appl.
Keywords
Field
DocType
atherosclerosis,classification time,welch,carotid artery doppler signal,carotid artery,fast fourier transformation,classification accuracy,system unit,fast fourier transformation-welch method,new research area,new field,10-fold cross validation,artificial immune system,real-world medical application,artificial immune systems,classification problem,fast fourier transform,cross validation
Data mining,Artificial immune system,Pattern recognition,Computer science,Carotid arteries,Fast Fourier transform,Artificial intelligence,Doppler effect,Cross-validation
Journal
Volume
Issue
ISSN
33
3
Expert Systems With Applications
Citations 
PageRank 
References 
11
0.66
7
Authors
4
Name
Order
Citations
PageRank
Fatma Latifoğlu1677.16
Seral Şahan221017.86
Sadik Kara327527.39
Salih Güneş4126778.53