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

Formative Evaluation of Digital Health Interventions (2761) Mobile Health (mhealth) (3115) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1754) Depression and Mood Disorders; Suicide Prevention (1493) Mental Health Issues in Adolescence (507)

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 Kim1 Author Orcid Image ;   Bohyun Wang2 Author Orcid Image ;   Meelim Kim3, 4, 5 Author Orcid Image ;   Jung Lee6 Author Orcid Image ;   Hyungjun Kim7 Author Orcid Image ;   Danyeul Roh7 Author Orcid Image ;   Kyung Hwa Lee8 Author Orcid Image ;   Soon-Beom Hong8 Author Orcid Image ;   Joon Shik Lim2 Author Orcid Image ;   Jae-Won Kim8 Author Orcid Image ;   Neal Ryan9 Author Orcid Image
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JMIR Formative Res: Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartp… https://t.co/O6pCSHZpMi

1:40 PM · May 24, 2023

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RT @jmirpub: JMIR Formative Res: Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App an…

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