Development of a machine learning model for predicting compulsory psychiatric care using clinical notes
This study shows that predicting adverse events is a promising line of research that may support future clinical practice. To enhance the clinical relevance of predictions, it is essential to understand the functioning of the model and its input variables.
Authors
- Astrid M. Kamperman (ORCID: https://orcid.org/0000-0003-4455-6492)
- Cornelis L. Mulder (ORCID: https://orcid.org/0000-0002-1038-9211)
- Eline Nap
- Floortje E. Scheepers (ORCID: https://orcid.org/0009-0002-8329-7956)
Institutions
- University Medical Center Utrecht (NL)
- IVO Addiction Research Institute (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1186/s12888-025-07464-1
- Primary Topic
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Type
- article
- Field-Weighted Citation Impact
- 0.00