Diagnosis of breast cancer with an innovative adaptive Support Vector Machine Yeni̇li̇kçi̇ bi̇r uyarlanabi̇li̇r DVM i̇le göǧüs kanseri̇ni̇n teşhi̇s edi̇lmesi̇

Karacan E., Kılıç E.

2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Fethiye, Mugla, Türkiye, 18 - 20 Nisan 2012 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2012.6204531
  • Basıldığı Şehir: Fethiye, Mugla
  • Basıldığı Ülke: Türkiye
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

In this study, a novel methodology based on Support Vector Machine (SVM) is proposed. In the proposed method, the sigma value belonging to the radial based function which is being used as the kernel function for the support vector machine is computed by using an adaptive mechanism. By this means, a new kind of SVM which can be defined as "Adaptive SVM" (ASVM) is proposed, and smart diagnosis of the breast cancer is aimed. During the training and test phases of this newly designed smart system, the prognostic breast cancer dataset which is provided from University of California is used. It is observed that the novel methodology which is firstly proposed in this study has a correct classification rate of 94.29% on the prognostic breast cancer dataset. © 2012 IEEE.