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

National Academies Of Sciences, Engineering, And Medicine; Health And Medicine Division; Board On Health Care Services; Forum On Mental Health And Substance Use Disorders

 
9780309695060: Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide: Proceedings of a Workshop
Couverture souple
ISBN 10 : 0309695066 ISBN 13 : 9780309695060
Editeur : National Academies Press, 2022

Synopsis

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 platform users at high risk for suicide, and in some cases may activate local law enforcement, if needed, to prevent imminent suicide. To explore the current scope of activities, benefits, and risks of leveraging innovative data science techniques to help inform upstream suicide prevention at the individual and population level, the Forum on Mental Health and Substance Use Disorders of the National Academies of Sciences, Engineering, and Medicine convened a virtual workshop series consisting of three webinars held on April 28, May 12, and June 30, 2022. This Proceedings highlights presentations and discussions from the workshop.

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Éditeur
National Academies Press
Date d'édition
2022
Langue
anglais
ISBN 10 
0309695066
ISBN 13 
9780309695060
Reliure
Broché
Nombre de pages
96
Coordonnées du fabricant
non disponible
Personne responsable
non disponible