Analyzing Suicide Risk From Linguistic Features in Social Media: Evaluation Study

BACKGROUND: Effective suicide risk assessments and interventions are vital for suicide prevention. Although assessing such risks is best done by health care professionals, people experiencing suicidal ideation may not seek help. Hence, machine learning (ML) and computational linguistics can provide...

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Detalles Bibliográficos
Autores principales: Lao, Cecilia, Lane, Jo, Suominen, Hanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472054/
https://www.ncbi.nlm.nih.gov/pubmed/36040781
http://dx.doi.org/10.2196/35563

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9472054/
https://www.ncbi.nlm.nih.gov/pubmed/36040781
http://dx.doi.org/10.2196/35563

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