Virtually screening adults for depression, anxiety, and suicide risk using machine learning and language from an open-ended interview

BACKGROUND: Current depression, anxiety, and suicide screening techniques rely on retrospective patient reported symptoms to standardized scales. A qualitative approach to screening combined with the innovation of natural language processing (NLP) and machine learning (ML) methods have shown promise...

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Detalles Bibliográficos
Autores principales: Wright-Berryman, Jennifer, Cohen, Joshua, Haq, Allie, Black, David P., Pease, James L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291825/
https://www.ncbi.nlm.nih.gov/pubmed/37377466
http://dx.doi.org/10.3389/fpsyt.2023.1143175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291825/
https://www.ncbi.nlm.nih.gov/pubmed/37377466
http://dx.doi.org/10.3389/fpsyt.2023.1143175

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