Utilization of artificial neural networks and autoregressive modeling in diagnosing mitral valve stenosis

KARA S., Guven A., OKANDAN M., DİRGENALİ F.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.36, sa.5, ss.473-483, 2006 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 5
  • Basım Tarihi: 2006
  • Doi Numarası: 10.1016/j.compbiomed.2005.01.007
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.473-483
  • Anahtar Kelimeler: mitral valve stenosis, artificial neural networks, back propagation algorithm, Levenberg Marquart method, autoregressive modeling, SIGNALS
  • Erciyes Üniversitesi Adresli: Evet

Özet

This research is concentrated on the diagnosis of mitral heart valve stenosis through the analysis of Doppler Signals' AR power spectral density graphic with the help of ANN. Multilayer feedforward ANN trained with a Levenberg Marquart backpropagation algorithm was implemented in the MATLAB environment. Correct classification of 94% was achieved, whereas 4 false classifications have been observed for the test group of 68 subjects in total. The designed classification structure has about 97.3% sensitivity, 90.3% specifity and positive prediction is calculated to be 92.3%. The stated results show that the proposed method can make an effective interpretation. (c) 2005 Elsevier Ltd. All rights reserved.