Linguistic Markers in At-Risk Mental States Using Natural Language Processing: A Systematic Review
: NLP techniques offer a powerful approach for detecting language alterations that distinguish ARMS individuals and provide meaningful predictions of psychosis onset, highlighting their potential as a complement to traditional clinical assessments for early identification and prevention.
Authors
- Julia Sevilla‐Llewellyn‐Jones (ORCID: https://orcid.org/0000-0002-9582-3389)
- Y. Zhang
- A. Ochagavía Calvo
- E. M. Gutierrez
- Alba Carrió (ORCID: https://orcid.org/0009-0007-6532-3862)
- Jose-Blas Navarro
Institutions
- Universidad Complutense de Madrid (ES)
- Universitat Autònoma de Barcelona (ES)
- Government of Spain (ES)
- Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES)
- IIT@MIT (US)
- Massachusetts Institute of Technology (US)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- Healthcare
- Published
- 2026-04-10
- DOI
- https://doi.org/10.3390/healthcare14080999
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Generalitat de Catalunya
- HORIZON EUROPE Framework Programme
- Direcció General de Recerca, Generalitat de Catalunya