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

Kadir Tok; Ismail Saritas

doi:10.18201/ijisae.2016426382

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

Authors

Kadir Tok Institute of Science and Technology, University of Selcuk, Konya, Turkey
Ismail Saritas Faculty of Technology, University of Selcuk, Konya, Turkey

DOI:

https://doi.org/10.18201/ijisae.2016426382

Keywords:

Rheumatoid arthritis, Disease diagnosis, Artificial neural networks.

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.

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Author Biography

Kadir Tok, Institute of Science and Technology, University of Selcuk, Konya, Turkey

MS. Student, Faculty Of Engineering

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Published

10.12.2016

How to Cite

Tok, K., & Saritas, I. (2016). The Usage Of Artificial Neural Networks Method In The Diagnosis Of Rheumatoid Arthritis. International Journal of Intelligent Systems and Applications in Engineering, 4(4), 119–121. https://doi.org/10.18201/ijisae.2016426382

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Issue

Vol. 4 No. 4 (2016)

Section

Research Article

License

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