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Computational markers of suicidal ideation from loss narrative recordings: a proof of concept study

2020 Pilot Research Grant
Amount Awarded: $30,000
Focus Area: Psychosocial Studies

Matteo Malgaroli, Ph.D.
New York University School of Medicine

Inside the Research

The loss of a spouse is among life’s most painful experiences, associated with significant distress, grief, and elevated risk for suicide. To improve assessment of potential suicide risk factors following loss, machine learning/artificial intelligence methods will be used to examine indicators of stress in speech and language from interviews with bereaved individuals. Using these stress indicators, a model will be developed and tested to predict future suicidal ideation and long-term adjustment following the loss of a spouse.