Migraine diagnosis by using artificial neural networks and decision tree techniques
Journal Title: AJIT-e: Bilişim Teknolojileri Online Dergisi - Year 2014, Vol 5, Issue 14
Abstract
Computer supported studies in wide range of medical fields have been greatly expanded in recent years. Also, many medical organizations continue to build databases for different diseases. This medical database for artificial intelligence techniques for the determination of the disease is invaluable. As a subset, artificial neural networks and decision tree techniques are used for disease diagnosis. In this study Gini algorithm from decision trees and distributed delay network, probabilistic neural network, feed-forward network and learning vector quantization from artificial neural network have been used in order to diagnose migraine and probable migraine. Performance of these techniques has been compared and distributed delay network technique is observed as the best diagnosis with 95.45% accuracy.
Authors and Affiliations
Ufuk Çelik, Nilüfer Yurtay, Ziynet Pamuk
Keywords
Related Articles
- EP ID EP132437
- DOI 10.5824/1309‐1581.2014.1.005.x
- Views 93
- Downloads 0
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