Machine Learning Models to Identify Individuals With Imminent Suicide Risk Using a Wearable Device: A Pilot Study
Wearable devices are a promising tool for identifying individuals at immediate risk of suicide. Future research with more refined temporal resolution is recommended.
Authors
- D. Lee
- Jongsu Park (ORCID: https://orcid.org/0009-0000-6950-0546)
- Jumyung Um (ORCID: https://orcid.org/0000-0002-8040-6144)
- Ji Hyun Baek (ORCID: https://orcid.org/0000-0002-1366-0396)
- Jae Eun Ahn
Institutions
- Samsung (South Korea) (KR)
- Samsung Medical Center (KR)
- Kyung Hee University (KR)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Psychiatry Investigation
- Published
- 2025-02-18
- DOI
- https://doi.org/10.30773/pi.2024.0257
- Citations
- 6
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 13.84
Funders
- National Research Foundation
- Ministry of Education
- National Research Foundation of Korea
- Samsung