This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Machine Learning (1465) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19548, first published .
Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Classification of Depression Through Resting-State Electroencephalogram as a Novel Practice in Psychiatry: Review

Authors of this article:

Milena Čukić1 Author Orcid Image ;   Victoria López2 Author Orcid Image ;   Juan Pavón2 Author Orcid Image
Article Authors Cited by (29) Tweetations (3) Metrics

Milena Čukić   1 , PhD ;   Victoria López   2 , PhD ;   Juan Pavón   2 , PhD, Prof Dr

1 HealthInc 3EGA, Amsterdam Health and Technology Institute, Amsterdam, Netherlands

2 Instituto de Tecnología del Conocimiento, Institute of Knowledge Technology, Universidad Complutense Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain

Corresponding Author:

  • Milena Čukić, PhD
  • HealthInc 3EGA
  • Amsterdam Health and Technology Institute
  • Koningin Wilhelminaplein 644
  • Amsterdam, 1062 KS
  • Netherlands
  • Phone: 31 615178926
  • Email: micu@3ega.nl