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

Obsessive-Compulsive Disorder (OCD) (35) Extended Reality, Virtual Reality and Virtual Worlds (520) Machine Learning (1400) Digital Biomarkers and Digital Phenotyping (178) Ecological Momentary Assessment (EMA) (297) Fitness Trackers and Smart Pedometers/Accelerometers (543) mHealth for Data Collection and Research (917) mHealth for Screening (194) Diagnostic Tools in Mental Health (224) Methods and New Tools in Mental Health Research (428) Reviews in Digital Mental Health (228)

Published on in Vol 6, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11643, first published .
How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review

Authors of this article:

Florian Ferreri1 Author Orcid Image ;   Alexis Bourla1, 2 Author Orcid Image ;   Charles-Siegfried Peretti1 Author Orcid Image ;   Tomoyuki Segawa1 Author Orcid Image ;   Nemat Jaafari3 Author Orcid Image ;   Stéphane Mouchabac1 Author Orcid Image
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