MEME KANSERİ SINIFLANDIRMASI İÇİN VERİ FÜZYONU VE GENETİK ALGORİTMA TABANLI GEN SEÇİMİ

Yıl 2012, Cilt: 27 Sayı: 3, 0 - , 19.02.2013

Oktay Yıldız Mesut Tez H. Şakir Bilge M. Ali Akcayol İnan Güler

https://izlik.org/JA27AJ23SF

Öz

Ciddi rahatsızlıklardan biri olan meme kanserinin erken teşhis edilmesi hastalığın tedavisinde önemli rol oynar. Bu çalışmada meme kanseri hastalığında etkin rol oynayan genlerin belirlenmesi için veri füzyonu ve genetik algoritma tabanlı yeni bir nitelik seçme metodu önerilmektedir. Yapılan çalışma iki aşamadan oluşmaktadır: İlk aşamada filtreleme yöntemi ile gen ifade verisi indirgenmiş, ikinci aşamada genetik algoritma ile meme kanserinde etkin rol alan genlerin tespiti gerçekleştirilmiştir. Destek vektör makinesi, genetik algoritma için uygunluk fonksiyonu olarak kullanılmıştır. Yapılan çalışmada belirlenen 10 gen ile sınıflandırma doğruluk oranı %94,65 elde edilmiştir.

Anahtar Kelimeler

Veri Madenciliği , Nitelik Seçme , Veri Füzyonu , Genetik Algoritma , Meme Kanseri , Destek Vektör Makinesi

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