Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide : Proceedings of a Workshop

Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide Proceedings of a Workshop

Emerging real-time data sources, together with innovative data science techniques and methods - including artificial intelligence and machine learning - can help inform upstream suicide prevention efforts. Select social media platforms have proactively deployed these methods to identify individual p...

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Detalles Bibliográficos
Autor principal: National Academies of Sciences, Engineering, and Medicine (-)
Autores Corporativos: National Academies of Sciences, Engineering, and Medicine, author (author), Health and Medicine Division, author, Board on Health Care Services, author, Forum on Mental Health and Substance Use Disorders, author
Otros Autores: Division, Health and Medicine, Services, Board on Health Care, Disorders, Forum on Mental Health and Substance Use, Nass, Sharyl J., Pool, Robert, Amankwah, Francis K.
Formato: Libro electrónico
Idioma:Inglés
Publicado: Washington, D.C. : National Academies Press 2023
2023.
Edición:1st ed
Materias:
Public Health
Medical Policy
Mental Health Services
Medical
Political Science
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009817240006719

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