Technology and the Future of Suicide Prevention

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Leorin, Cristian
Stella, Eloisa
De Leo, Diego
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Kolves, Kairi

Sisask, Merike

Varnik, Peeter

Varnik, Airi

De Leo, Diego

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2021
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Abstract

New digital Technologies have expanded the realm of opportunities to deliver support to those at risk of suicide. eHealth and general health apps have shown important prevention capabilities, Big data analytic methods have made possible successful applications of artificial intelligence in heath care. Machine learning techniques and natural language processing methods may now offer useful interpretation of social media posts and content of talks and scripts. There is also now the capacity to use smartphone, wearable devices, and smart home technology to conduct longitudinal monitoring of putative risk factors and develop predictive algorithms for suicidal thoughts and behaviors. This chapter offers an overview of what is already available and what holds promise for the future of suicide prevention.

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Advancing Suicide Research

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Subject

Health services and systems

Public health

Criminology

Sociology

Psychology

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Leorin, C; Stella, E; De Leo, D, Technology and the Future of Suicide Prevention, Advancing Suicide Research, 2021, pp. 249-276

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