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

LATİFOĞLU F. , Sahan S., Kara S., Gunes S.

EXPERT SYSTEMS WITH APPLICATIONS, vol.33, no.3, pp.786-793, 2007 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 33 Issue: 3
  • Publication Date: 2007
  • Doi Number: 10.1016/j.eswa.2006.05.034
  • Page Numbers: pp.786-793


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.