Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults

IMPORTANCE: Understanding the differences and potential synergies between traditional clinician assessment and automated machine learning might enable more accurate and useful suicide risk detection. OBJECTIVE: To evaluate the respective and combined abilities of a real-time machine learning model a...

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Detalles Bibliográficos
Autores principales: Wilimitis, Drew, Turer, Robert W., Ripperger, Michael, McCoy, Allison B., Sperry, Sarah H., Fielstein, Elliot M., Kurz, Troy, Walsh, Colin G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107032/
https://www.ncbi.nlm.nih.gov/pubmed/35560048
http://dx.doi.org/10.1001/jamanetworkopen.2022.12095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107032/
https://www.ncbi.nlm.nih.gov/pubmed/35560048
http://dx.doi.org/10.1001/jamanetworkopen.2022.12095

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