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Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches
Joint Authors
Çelik, Ufuk
Yurtay, Nilüfer
Koç, Emine Rabia
Tepe, Nermin
Güllüoğlu, Halil
Ertaş, Mustafa
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The present study evaluated the diagnostic accuracy of immune system algorithms with the aim of classifying the primary types of headache that are not related to any organic etiology.
They are divided into four types: migraine, tension, cluster, and other primary headaches.
After we took this main objective into consideration, three different neurologists were required to fill in the medical records of 850 patients into our web-based expert system hosted on our project web site.
In the evaluation process, Artificial Immune Systems (AIS) were used as the classification algorithms.
The AIS are classification algorithms that are inspired by the biological immune system mechanism that involves significant and distinct capabilities.
These algorithms simulate the specialties of the immune system such as discrimination, learning, and the memorizing process in order to be used for classification, optimization, or pattern recognition.
According to the results, the accuracy level of the classifier used in this study reached a success continuum ranging from 95% to 99%, except for the inconvenient one that yielded 71% accuracy.
American Psychological Association (APA)
Çelik, Ufuk& Yurtay, Nilüfer& Koç, Emine Rabia& Tepe, Nermin& Güllüoğlu, Halil& Ertaş, Mustafa. 2015. Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057908
Modern Language Association (MLA)
Çelik, Ufuk…[et al.]. Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1057908
American Medical Association (AMA)
Çelik, Ufuk& Yurtay, Nilüfer& Koç, Emine Rabia& Tepe, Nermin& Güllüoğlu, Halil& Ertaş, Mustafa. Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1057908
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057908