Identifying Preliminary Risk Profiles for Dissociation in 16‐ to 25‐Year‐Olds Using Machine Learning
Validation of these findings could inform clinical assessment, and prevention and outreach efforts, improving the under-recognition of dissociation in mainstream services.
Authors
- Daniel Herring
- Emma Černis (ORCID: https://orcid.org/0000-0002-7275-6144)
- Xiaocheng Shang (ORCID: https://orcid.org/0000-0001-8376-6498)
- Roberta McGuinness
- Maryam Almandi
- Daveena Bhangu
- Lucia Collinson
- Xinyi Wu (ORCID: https://orcid.org/0000-0002-0719-7171)
Institutions
- Turing Institute (GB)
- British Library (GB)
- Birmingham and Solihull Mental Health NHS Foundation Trust (GB)
- The Alan Turing Institute (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Early Intervention in Psychiatry
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1111/eip.70015
- Citations
- 4
- Primary Topic
- Psychosomatic Disorders and Their Treatments
- Type
- article
- Field-Weighted Citation Impact
- 5.88
Funders
- University of Birmingham