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

Digital Health Reviews (1841) Mobile Health (mhealth) (3680) mHealth for Data Collection and Research (1273) Depression and Mood Disorders; Suicide Prevention (1770) Wearable Devices and Sensors (1223) Anxiety and Stress Disorders (1380) Diagnostic Tools in Mental Health (342) Fitness Trackers and Smart Pedometers/Accelerometers (696) Digital Biomarkers and Digital Phenotyping (329)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77331, first published .
Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

Authors of this article:

Hyun Woo Jung1, 2 Author Orcid Image ;   Do Yeon Kim3 Author Orcid Image ;   Ilju Lee2 Author Orcid Image ;   Ok Kim2, 4 Author Orcid Image ;   Seungjin Lee5 Author Orcid Image ;   Sujin Lee5 Author Orcid Image ;   Un Sun Chung6 Author Orcid Image ;   Jae-Hyun Kim7 Author Orcid Image ;   Sehwan Kim8 Author Orcid Image ;   Jung Won Kim9, 10 Author Orcid Image ;   Ah Lahm Shin10, 11 Author Orcid Image ;   Jung Jae Lee1, 2, 12 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

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  3. Lee H, Kang S, Lee S. The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e76432 View
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