The Usage Of Artificial Neural Networks Method In The Diagnosis Of Rheumatoid Arthritis

Abstract

In this study, artificial neural networks (ANN) method is used for the diagnosis of rheumatoid arthritis in order to support medical diagnostics. For the diagnosis of rheumatoid arthritis, backpropagation algorithm was examined in Matlab R2015b environment in artificial neural networks. With the system, the data in a data set, which are received from the patients with rheumatoid arthritis and from the people who are not suffering from rheumatoid arthritis, are classified successfully. Also, ANN backpropagation algorithm results and the results found by Perceptron algorithm are compared in terms of performance. Whereas %82 accuracy percentage is obtained with the Backpropagation method in performance tests in the data set, the accuracy percentage is calculated %71 with Perceptron method.

Keywords

• Rheumatoid arthritis,Disease diagnosis,Artificial neural networks.

Kaynakça

1. Anonymous, 2016, Rheumatoid Arthritis, TLAR, https://www.trasd.org.tr/hastalik/romatoid-artrit [Date of Visit: 3 May 2016].
2. C. Öz, R. Köker, S. Çakar, "Yapay Sinir Ağları ile Karakter Tabanlı Plaka Tanıma", Electrical-Electronics-Computer Engineering Symposium (ELECO'2002), Bursa, 2002.
3. Çevik, K. K. ve Dandıl, E., "Yapay Sinir Ağları İçin .Net Platformunda Görsel Bir Eğitim Yazılımının Geliştirilmesi", International Journal Of Informatics Technologies Of Gazi University, Vol. 5, No. 1, January 2012.
4. Ş. Sağıroğlu, E. Beşdok, M. Erler, Mühendislikte Yapay Zeka Uygulamaları-1 Yapay Sinir Ağları, Ufuk Yayıncılık, Kayseri, 2003.
5. E. Öztemel, Yapay Sinir Ağları, Papatya Yayınevi, İstanbul, 2003.