Risk Prediction Model for Non-Suicidal Self-Injury in Chinese Adolescents with Major Depressive Disorder Based on Machine Learning
The study demonstrates the suitability of prediction models for predicting NSSI behavior in Chinese adolescents with MDD based on ML. This model improves the assessment of NSSI in adolescents with MDD by health care professionals working. This provides a foundation for focused prevention and interventions by health care professionals working with these adolescents.
Authors
- Jinfang Liu (ORCID: https://orcid.org/0000-0001-8476-1920)
- Bing Xiang Yang (ORCID: https://orcid.org/0000-0002-0227-4342)
- Ting Sun (ORCID: https://orcid.org/0000-0001-9525-3649)
- Zhongchun Liu (ORCID: https://orcid.org/0000-0001-5410-0312)
- Zhiying Wan
- Yinglin Li (ORCID: https://orcid.org/0000-0002-2732-3040)
- Jie Liu (ORCID: https://orcid.org/0000-0001-8204-424X)
- Xiaofen Li (ORCID: https://orcid.org/0000-0002-1064-768X)
- Zhongxiang Cai (ORCID: https://orcid.org/0009-0006-1632-1249)
- Xuan Gong (ORCID: https://orcid.org/0000-0003-0839-2427)
- Xiangying Xie (ORCID: https://orcid.org/0009-0002-1845-8530)
- Hui Wang (ORCID: https://orcid.org/0000-0002-8356-1975)
Institutions
- Yangtze University (CN)
- Virginia Commonwealth University (US)
- University Health System (US)
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Neuropsychiatric Disease and Treatment
- Published
- 2024-08-01
- DOI
- https://doi.org/10.2147/ndt.s460021
- Citations
- 10
- Primary Topic
- Suicide and Self-Harm Studies
- Type
- article
- Field-Weighted Citation Impact
- 6.39
Funders
- Wuhan University
- Renmin Hospital of Wuhan University