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    • 03) Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    • Cilt 11, Sayı 2 (2022)
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    •   DSpace Home
    • 2-DERGİLER
    • 03) Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
    • Cilt 11, Sayı 2 (2022)
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    Breast Cancer Diagnosis with Machine Learning Techniques

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    Date
    2022
    Author
    DOĞAN, Halime
    TATAR, Ahmet Burak
    TANYILDIZI, Alper Kadir
    TAŞAR, Beyda
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    Abstract
    Cancer deaths are one of the highest rates of death. Although breast cancer is commonly associated with women, it is sometimes seen in men, and the mortality rate for men with breast cancer may be higher. The importance of early detection and treatment of breast cancer cannot be overstated. Cancer is diagnosed at an early stage thanks to expert systems, artificial intelligence, and machine learning approaches, and data analysis makes life easier for healthcare professionals. The nearest neighbor method, principal component analysis (PCA), and neighborhood component method (NCA) approaches were employed to detect breast cancer in this study. "Breast Cancer Wisconsin Diagnostic" database was used to create and test the approach. According to the results obtained, the highest success rate with 99.42% was obtained by using neighborhood component analysis and the nearest neighbor classification algorithm method.
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    http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14644
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    • Cilt 11, Sayı 2 (2022) [35]





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