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, cilt.33, sa.3, ss.786-793, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 33 Sayı: 3
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.eswa.2006.05.034
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.786-793
  • Erciyes Üniversitesi Adresli: Evet

Özet

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.