Data mining EEG signals in depression for their diagnostic value-Reference-Cited by-同舟云学术

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Data mining EEG signals in depression for their diagnostic value

Published:2015-12 Issue:1 Volume:15 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Mohammadi Mahdi,Al-Azab Fadwa,Raahemi Bijan,Richards Gregory,Jaworska Natalia,Smith Dylan,de la Salle Sara,Blier Pierre,Knott Verner

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/article/10.1186/s12911-015-0227-6/fulltext.html

Reference56 articles.

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2. Yach D, Hawkes C, Gould C, Hofman K. The global burden of chronic disorders: Overcoming impediments to prevention and control. JAMA. 2004;291:2616–22.

3. Murray T, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: A systematic analysis for the global burden of disease study. Lancet. 2010;380:2197–223.

4. Olesen J, Gustavsson A, Svensson M, Wittchen U, Jonsson B. The economic cost of brain disorders in Europe. Eur J Neurol. 2012;19:155–62.

5. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.

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