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

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

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.

Copyright:
2022 the National Academy of Sciences

Book Details

Book Quality:
ISBN-13:
9780309695091
Publisher:
The National Academies Press
Date of Addition:
Language:
English
Categories:
Nonfiction,
Usage Restrictions:
This is a copyrighted book.