Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches
المؤلفون المشاركون
Çelik, Ufuk
Yurtay, Nilüfer
Koç, Emine Rabia
Tepe, Nermin
Güllüoğlu, Halil
Ertaş, Mustafa
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-05-04
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057908
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر