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Innovative Data Science Approaches to Identify Individuals, Populations, and Communities at High Risk for Suicide - Engineering National Academies of Sciences  and Medicine,  Health and Medicine Division,  Board on Health Care Services,  Forum on Mental Health and Substance Use Disorders

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

Proceedings of a Workshop
Buch | Softcover
96 Seiten
2023
National Academies Press (Verlag)
978-0-309-69506-0 (ISBN)
CHF 33,15 inkl. MwSt
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.

Table of Contents


Front Matter
Workshop Overview
Appendix A: Statement of Task
Appendix B: Workshop Agenda
Erscheinungsdatum
Verlagsort Washington
Sprache englisch
Maße 152 x 229 mm
Themenwelt Medizin / Pharmazie Medizinische Fachgebiete Neurologie
Studium Querschnittsbereiche Prävention / Gesundheitsförderung
ISBN-10 0-309-69506-6 / 0309695066
ISBN-13 978-0-309-69506-0 / 9780309695060
Zustand Neuware
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