Longitudinal analysis of adolescents at high risk of depression: Prediction models
A machine-learning-based predictive model for identifying adolescents at high risk of depression was developed. These findings provide a foundation for early screening and the development of intervention programs and policies aimed at mitigating adolescent depression risk.
Authors
- Mona Choi (ORCID: https://orcid.org/0000-0003-4694-0359)
- Eun Kyoung Choi (ORCID: https://orcid.org/0000-0003-4622-2437)
- Jisu Park
Institutions
- Yonsei University (KR)
- Yonsei University Health System (KR)
Publication Details
- Journal
- Applied Nursing Research
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1016/j.apnr.2025.151927
- Citations
- 4
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 8.47