Sağlık Alanında Kullanılan Derin Öğrenme Yöntemleri

Year 2019, Issue: 16, 792 - 808, 31.08.2019

Umut Kaya Atınç Yılmaz Yalım Dikmen

https://doi.org/10.31590/ejosat.573248

Cited By: 12

Abstract

Uzun süreli tedavi
gerektiren kanser ve benzeri hastalıklar, her geçen gün sağlık harcamalarının
artmasına neden olmakta ve bu harcamalar nedeniyle hastalığın tedavisinde erken
tanı her geçen gün önem kazanmaktadır. Yapılan çalışmalara göre makine
öğrenmesi, hastalıkların erken tanısında en çok kullanılan yöntemlerdendir. Son
zamanlarda makine öğrenmesinin alt dalı olan derin öğrenme yöntemleri sağlık
alanında kullanılmaya başlanmıştır. Bu çalışmada ilk olarak, derin öğrenmenin
tanımı yapılmıştır. Derin öğrenme uygulamalarının genel kullanımlarından
bahsedilmiştir. Hastalıkların erken tanısında kullanılan derin öğrenme
yöntemleri incelenmiştir. Daha sonra sağlık alanında kullanılan derin öğrenme
yöntemleri tanıtılarak, bu yöntemlerin sağlık alanındaki uygulamalarına
değinilmiştir. Sonuç bölümünde ise bu yöntemlerin başarıları tartışılmıştır.

Keywords

Yapay zekâ, erken tanı, makine öğrenmesi, derin öğrenme

Deep Learning Methods used in the field of Health

Abstract

Cancer and similar
diseases, necessitating the long-term treatment, cause the health expenditures
to increase every day and due to these expenses, the importance of early
diagnosis is increasing day to day. According to studies, machine learning
methods are the most commonly used techniques for early diagnoses of the
diseases. Deep learning approaches which are the sub-field of the machine
learning, have recently been used in the field of health. In this study first,
deep learning is defined. Then, the common usages of the deep learning are
mentioned. The deep learning methods used in the field of health are
considered. In conclusion, the successes of these methods are discussed.

Keywords

Artificial intelligence, early diagnosis, machine learning, deep learning

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