Technology and the Future of Suicide Prevention
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Stella, Eloisa
De Leo, Diego
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Kolves, Kairi
Sisask, Merike
Varnik, Peeter
Varnik, Airi
De Leo, Diego
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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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Citation
Leorin, C; Stella, E; De Leo, D, Technology and the Future of Suicide Prevention, Advancing Suicide Research, 2021, pp. 249-276