Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study
Findings suggest that data collected from passive sensing devices may provide real-time, low-cost insight into the detection of depressive symptoms in college students and may present an opportunity for future prevention and perhaps intervention.
Authors
- Marta Tironi (ORCID: https://orcid.org/0000-0003-0610-6650)
- Nikil Dutt (ORCID: https://orcid.org/0000-0002-3060-8119)
- Elayne Zhou (ORCID: https://orcid.org/0000-0001-9604-9404)
- Salar Jafarlou (ORCID: https://orcid.org/0000-0002-9706-0901)
- Lyric N. Russo (ORCID: https://orcid.org/0000-0002-3815-3622)
- Jocelyn Lai (ORCID: https://orcid.org/0000-0002-6457-3313)
- Jessica L. Borelli (ORCID: https://orcid.org/0000-0001-8471-6732)
- Amir M. Rahmani (ORCID: https://orcid.org/0000-0003-0725-1155)
- Frances Haofei Li (ORCID: https://orcid.org/0000-0002-2612-6336)
- Iman Azimi (ORCID: https://orcid.org/0000-0001-5003-299X)
- Sina Labbaf (ORCID: https://orcid.org/0000-0002-9478-2546)
- Christopher Marcotullio (ORCID: https://orcid.org/0009-0000-0736-5166)
- Yuning Wang (ORCID: https://orcid.org/0000-0001-7351-6866)
- Ken Yamashita
- Brenda Nguyen (ORCID: https://orcid.org/0009-0004-6480-8292)
Institutions
- University of Southern California (US)
- University of Turku (FI)
- University of California, Irvine (US)
- University of Genoa (IT)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-06-03
- DOI
- https://doi.org/10.2196/67964
- Citations
- 4
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 8.47