Predicting non-suicidal self-injury among Chinese adolescents: The application of ten algorithms of machine learning
The ensemble machine learning algorithm showed promising results predicting NSSI among adolescents. Such algorithms should be recommended for future NSSI research to enhance predictive accuracy. Identification of important features in NSSI prediction can help develop screening protocols and lay a foundation for clinical diagnosis and intervention in adolescent populations.
Authors
- Wei Chen (ORCID: https://orcid.org/0009-0008-1450-2542)
- Shiyin Xiao
- Yujing Gao
Institutions
- Guizhou Normal University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e37723
- Citations
- 5
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.20
Funders
- Jilin Office of Philosophy and Social Science