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

Proceedings of a Workshop

National Academies of Sciences, Engineering, 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

Description

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.

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

Year: 2022
Language: English
Pages: 96

EAN: 9780309695060
Binding format: Paperback / softback

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

Proceedings of a Workshop

Description

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