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

Pilot studies (ehealth) (355) Depression and Mood Disorders; Suicide Prevention (1769) Wearable Devices and Sensors (1219) Machine Learning (2252) Mental Health Issues in Adolescence (681)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67964, first published .
Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study

Authors of this article:

Jessica L Borelli1 Author Orcid Image ;   Yuning Wang2 Author Orcid Image ;   Frances Haofei Li1 Author Orcid Image ;   Lyric N Russo1 Author Orcid Image ;   Marta Tironi3 Author Orcid Image ;   Ken Yamashita1 Author Orcid Image ;   Elayne Zhou4 Author Orcid Image ;   Jocelyn Lai1 Author Orcid Image ;   Brenda Nguyen1 Author Orcid Image ;   Iman Azimi1 Author Orcid Image ;   Christopher Marcotullio1 Author Orcid Image ;   Sina Labbaf1 Author Orcid Image ;   Salar Jafarlou1 Author Orcid Image ;   Nikil Dutt1 Author Orcid Image ;   Amir Rahmani1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

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  2. Gong E, Bang C, Lee J, Baik G. Smart Ring in Clinical Medicine: A Systematic Review. Biomimetics 2025;10(12):819 View
  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