Classification of ADHD patients on the basis of independent ERP components using a machine learning system

Author:

Mueller Andreas,Candrian Gian,Kropotov Juri D,Ponomarev Valery A,Baschera Gian-Marco

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Biomedical Engineering,General Medicine,Biophysics

Reference60 articles.

1. American Psychiatric Association: Diagnostic and statistical manual of mental disorders DSM-IV. 1994, American Psychiatric Association, 4th

2. World Health Organization: The ICD-10 classification of mental and behavioural disorders. Diagnostic criteria for research. 1993, World Health Organization

3. Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA: The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry. 2007, 164: 942-948. 10.1176/appi.ajp.164.6.942.

4. Faraone SV, Biederman J, Mick E: The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies. Psychol Med. 2006, 36: 159-165. 10.1017/S003329170500471X.

5. Barkley R: Age dependent decline in ADHD: True recovery or statistical illusion?. The ADHD Report. 1997, 5: 1-5.

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