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

Authors:
Fatma Latifoglu;Seral Şahan;Sadık Kara;Salih Güneş
Affiliations:
Department of Electrical Engineering, 38039 Kayseri, Turkey;Selcuk University, Department of Electrical and Electronics Engineering, 42075 Konya, Turkey;Erciyes University, Department of Electrical Engineering, 38039 Kayseri, Turkey;Selcuk University, Department of Electrical and Electronics Engineering, 42075 Konya, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2007

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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.