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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Bibliographic Details
Main Author: Amankwah, Francis
Corporate Authors: National Academies of Sciences, Engineering, and Medicine (U.S.) Forum on Mental Health and Substance Use Disorders, Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide (Workshop) (2022, Online)
Other Authors: Pool, Robert ([rapporteur]), Nass, Sharyl J. ([rapporteur])
Format: eBook
Language:English
Published: Washington, DC National Academies Press 2022, [2022]
Online Access:
Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references