Hierarchical machine learning model integrating clinical history and nursing observations for predicting violent behavior in hospitalized schizophrenia patients
The hierarchical machine learning model integrating clinical history and dynamic nursing observations significantly enhances predictive accuracy for violent behavior in schizophrenia inpatients, providing clinicians with valuable tools for timely risk assessment and personalized preventive interventions.
Authors
- Wei Yang (ORCID: https://orcid.org/0000-0001-7249-4386)
- Ying Duan
- Ying Sun (ORCID: https://orcid.org/0000-0002-5432-4620)
- Liang Wang (ORCID: https://orcid.org/0000-0002-2408-788X)
- Mingtao Wang (ORCID: https://orcid.org/0009-0008-0880-9943)
- Wei Shao (ORCID: https://orcid.org/0000-0003-1476-2068)
- Jintao Ren
- Miao Liu (ORCID: https://orcid.org/0000-0002-3888-1849)
- Yang Zhang (ORCID: https://orcid.org/0000-0003-0210-384X)
- Jinhuan Wang (ORCID: https://orcid.org/0000-0003-3816-1291)
- Xianfeng Meng (ORCID: https://orcid.org/0000-0002-3036-5583)
- Chenhui Sun
- Lin Pang
- Kunyuan Hu
- Xiaojun Shao
- Gang Zhu
Institutions
- Shenyang Institute of Automation (CN)
- Chinese Academy of Sciences (CN)
- Liaoning Vocational College of Medical (CN)
- Liaoning Provincial People's Hospital (CN)
- Computer Network Information Center (CN)
- Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN)
- First Hospital of China Medical University (CN)
- University of Chinese Academy of Sciences (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-09-22
- DOI
- https://doi.org/10.3389/fpsyt.2025.1644341
- Primary Topic
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Sciences
- China Medical University
- Institute of Automation, Chinese Academy of Sciences
- Shenyang Institute of Automation