Computational methods for the identification of suicidal ideation: a systematic review
Limitations in the evidence include the lack of linguistic and cultural diversity and the predominance of data from social networks. These results indicate that computational techniques have high potential to support early prevention strategies for suicidal ideation. However, expanding the diversity of linguistic contexts and improving understanding of the models among non-experts, such as physicians and other interested individuals, is necessary.
Authors
- Juan Carlos Blandón Andrade (ORCID: https://orcid.org/0000-0003-1566-1832)
- Alejandro Morales-Ríos
- Brahian Stiven Gil Arias
- Grigori Sidorov
Institutions
- Technological University of Pereira (CO)
- Universidad Católica de Pereira (CO)
- Instituto Politécnico Nacional (MX)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2026-01-22
- DOI
- https://doi.org/10.3389/frai.2026.1704818
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00