Diagnosis of diabetes by using adaptive SVM Uyarlanabi̇li̇r DVM yöntemi̇ kullanilarak şeker hastaliginin teşhi̇s edi̇lmesi̇

Gürbüz E., Kılıç E.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Türkiye, 20 - 22 Nisan 2011, ss.46-49 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2011.5929584
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.46-49
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

In this study, a new Support Vector Machine (SVM) based method for diagnosis of diabetes is proposed. In the proposed method, feature of adaptibility is added to the support vector machine. Thus, a new kind of SVM named "Adaptive SVM" is proposed, and smartly diagnosis of diseases is aimed. During the training and testing of this newly designed smart system, diabetes data set which is obtained from the medical database of University of California is used. It is observed that the classification rate of this newly proposed method on the diabetes data set is 100%. © 2011 IEEE.