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Digital Suicide Prevention: Can Technology Become a Game-changer?
Arshya Vahabzadeh1, Ned Sahin1, Amir Kalali1
1Dr. Vahabzadeh is Director of Digital Health, Brain Power, in Cambridge, Massachusetts; Instructor in Psychiatry, Harvard Medical School in Cambridge, Massachusetts; and Innovation Officer at Massachusetts General Hospital Psychiatry Academy in Boston, Massachusetts. Dr. Sahin is Chief Science Officer at Brain Power and Associate in Psychology at Harvard University in Cambridge, Massachusetts; and Dr. Kalali is Global Head of the Neuroscience Center of Excellence at Quintiles and Professor of Psychiatry at the University of California, San Diego, California.
Abstract:
Suicide continues to be a leading cause of death and has been recognized as a significant public health issue. Rapid advances in data science can provide us with useful tools for suicide prevention, and help to dynamically assess suicide risk in quantitative data-driven ways. In this article, the authors highlight the most current international research in digital suicide prevention, including the use of machine learning, smartphone applications, and wearable sensor driven systems. The authors also discuss future opportunities for digital suicide prevention, and propose a novel Sensor-driven Mental State Assessment System.
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