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

Formative Evaluation of Digital Health Interventions (1604) Mobile Health (mhealth) (2017) e-Mental Health and Cyberpsychology (997) Depression and Mood Disorders; Suicide Prevention (1070) Mental Health Issues in Adolescence (302)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45991, first published .
Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study

Authors of this article:

Jae Sung Kim 1 Author Orcid Image ;   Bohyun Wang 2 Author Orcid Image ;   Meelim Kim 3, 4, 5 Author Orcid Image ;   Jung Lee 6 Author Orcid Image ;   Hyungjun Kim 7 Author Orcid Image ;   Danyeul Roh 7 Author Orcid Image ;   Kyung Hwa Lee 8 Author Orcid Image ;   Soon-Beom Hong 8 Author Orcid Image ;   Joon Shik Lim 2 Author Orcid Image ;   Jae-Won Kim 8 Author Orcid Image ;   Neal Ryan 9 Author Orcid Image
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