The Usage of Artificial Neural Networks Method in the Diagnosis of Rheumatoid Arthritis
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2016, Vol 4, Issue 4
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.
Authors and Affiliations
Kadir Tok*| Institute of Science and Technology, University of Selcuk, Turkey, Ismail Saritas| Faculty of Technology, University of Selcuk, Turkey
Keywords
Related Articles
- EP ID EP809
- DOI 10.18201/ijisae.2016426382
- Views 492
- Downloads 23
Particle Swarm Optimization Design of Optical Directional Coupler Based on Power Loss Analysis
In this work, feasible design is presented as an optimization problem for an optical directional coupler and designed by using particle swarm optimization (PSO). Principally, identical, weakly guiding, slab and lossless...
Improving Intrusion Detection using Genetic Linear Discriminant Analysis
The objective of this research is to propose an efficient soft computing approach with high detection rates and low false alarms while maintaining low cost and shorter detection time for intrusion detection. Our results...
Validation of Registration for Renal Dynamic Contrast Enhanced MRI Imaging
In Dynamic Contrast Enhanced Resonance Imaging (DCE-MRI), abdomen is scanned repeatedly and rapidly after injection of a contrast agent. During data acquisition, collected images suffer from the motion induced by the pat...
A region covariances-based visual attention model for RGB-D images
Existing computational models of visual attention generally employ simple image features such as color, intensity or orientation to generate a saliency map which highlights the image parts that attract human attention. I...
Application of Angle-Modulated Particle Swarm Optimization Technique in Power System Controlled Separation WAP
One of the recommended preventive plans against the wide area disturbances is WAP, Wide Area Protection, through controlled system splitting or separation. In this paper, authors are proposing three simple algorithms tha...