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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

Participants met the eligibility criteria if they were fluent in English and used an Android smartphone with an operating system of 6.0 or higher (the study by Borelli [55] provides full details on participation eligibility). Exclusion criteria included anyone who is a parent, married, coming back to school after some time, aged >22 years, unable to speak or write English fluently, or currently meets criteria for depression.

Jessica L Borelli, Yuning Wang, Frances Haofei Li, Lyric N Russo, Marta Tironi, Ken Yamashita, Elayne Zhou, Jocelyn Lai, Brenda Nguyen, Iman Azimi, Christopher Marcotullio, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Amir Rahmani

JMIR Form Res 2025;9:e67964