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Open Medicine

formerly Central European Journal of Medicine


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Automatic diagnosis of primary headaches by machine learning methods

1Department of Systems and Computer Networks, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

2Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

3Faculty of Medicine, University of Novi Sad, Hajduk Veljkova 1-9, 21000, Novi Sad, Serbia

© 2013 Versita Warsaw. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

Citation Information: Open Medicine. Volume 8, Issue 2, Pages 157–165, ISSN (Online) 2391-5463, DOI: 10.2478/s11536-012-0098-5, January 2013

Publication History

Published Online:
2013-01-23

Abstract

Primary headaches are common disease of the modern society and it has high negative impact on the productivity and the life quality of the affected person. Unfortunately, the precise diagnosis of the headache type is hard and usually imprecise, thus methods of headache diagnosis are still the focus of intense research. The paper introduces the problem of the primary headache diagnosis and presents its current taxonomy. The considered problem is simplified into the three class classification task which is solved using advanced machine learning techniques. Experiments, carried out on the large dataset collected by authors, confirmed that computer decision support systems can achieve high recognition accuracy and therefore be a useful tool in an everyday physician practice. This is the starting point for the future research on automation of the primary headache diagnosis.

Keywords: Clinical decision support; Feature selection; Headache; Machine learning; Medical informatics

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