TY  - JOUR
T1  - Meme Kanseri Erken Teşhisi için MAMA ve KTB Kullanarak Geliştirilen Model
TT  - Enhancing Early Breast Cancer Diagnosis with MRMR and GRU-based Model
AU  - Aymaz, Samet
PY  - 2024
DA  - April
DO  - 10.35414/akufemubid.1360156
JF  - Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi
PB  - Afyon Kocatepe Üniversitesi
WT  - DergiPark
SN  - 2149-3367
SP  - 320
EP  - 329
VL  - 24
IS  - 2
LA  - tr
AB  - Meme kanseri, dünya genelinde kadınlarda en sık görülen kanser türlerinden biridir ve bu hastalıkta erken teşhis hayat kurtarıcı olabilir. Bu çalışma, Wisconsin Meme Kanseri Teşhisi (WMKT) veri setine odaklanarak meme kanseri teşhisi için doğru ve güvenilir bir model geliştirme amacı gütmektedir. Çalışmada, ilk aşamada Minimum Artıklık Maksimum Alaka Düzeyi (MAMA) yöntemi kullanılarak özellik seçimi yapılmıştır. Yöntem, veri madenciliği ve özellik seçimi alanında etkili bir araç olarak kullanılmaktadır. MAMA ile özelliklerin önem sıralaması yapılarak, sadece anlamlı olanlar kullanılmıştır. Özellik seçimi, modelin karmaşıklığını azaltırken performansı artırır. Daha sonra, MAMA ile seçilen bu özellikler, meme kanseri sınıflandırması için oluşturulan Kapılı Tekrarlayan Birim (KTB) tabanlı bir sinir ağı modeli ile sınıflandırılmaktadır. KTB, tek boyutlu özellik serilerini işleme yeteneğine sahiptir ve karmaşık sınıflandırma problemlerinde etkili sonuçlar verir. Sonuçlar, bu yenilikçi yaklaşımın meme kanseri teşhisinde oldukça başarılı olduğunu göstermektedir. Yapılan değerlendirmelerde doğruluk metriği için %98.28, kesinlik metriği için %98.59, duyarlık metriği için %98.59, özgüllük metriği için %97.67 ve F-puanı metriği için %98.59 değerleri elde edilmiştir. Sonuçlar yöntemin klinik uygulamalarda uzmanlara yardımcı olabileceğini ortaya koymaktadır. Önerilen yaklaşımın toplumun her kesimi için erişilebilirlik, basit sistemlerde bile hızlı ve yüksek doğrulukla çalışabilmek gibi önemli avantajları olduğu sonuçlardan anlaşılmaktadır.
KW  - Meme kanseri
KW  - Özellik seçimi
KW  - MAMA yöntemi;
KW  - KTB modeli
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UR  - https://doi.org/10.35414/akufemubid.1360156
L1  - https://dergipark.org.tr/tr/download/article-file/3407336
ER  -