Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study.
- DOI
- 10.2147/prbm.s636210
- Published
- 2026
- Container
- Psychology research and behavior management
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2147/prbm.s636210,
title = {Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study.},
author = {Chen F and Yang J and Wang R and Zhao J and Xiong H and Zhang Z and Chen X and Song S and Li L},
year = {2026},
journal = {Psychology research and behavior management},
doi = {10.2147/prbm.s636210},
url = {https://doi.org/10.2147/prbm.s636210}
}RIS
TY - JOUR TI - Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study. AU - Chen F AU - Yang J AU - Wang R AU - Zhao J AU - Xiong H AU - Zhang Z AU - Chen X AU - Song S AU - Li L PY - 2026 JO - Psychology research and behavior management DO - 10.2147/prbm.s636210 UR - https://doi.org/10.2147/prbm.s636210 ER -
APA
F, C., J, Y., R, W., J, Z., H, X., Z, Z., X, C., S, S., & L, L. (2026). Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study.. Psychology research and behavior management. https://doi.org/10.2147/prbm.s636210
Source records
- pubmed · retrieved 2026-11-10T06:42:46.580Z