Applying Machine Learning Techniques to Ecological Momentary Assessment Data to Investigate Complex Suicide Processes.

Ecological Momentary Assessment (EMA) provides moment-to-moment recording of suicide risk factors that can be feasibly monitored via mobile app. Machine Learning techniques applied to such data can help identify complex risk algorithms that one-time clinic-based assessments struggle to capture. The SafePlan trial, a Pilot Randomised Controlled Trial currently underway, collates individualised longitudinal EMA data. The project aims to (a) collaborate with colleagues at the Joiner Lab to identify Machine Learning techniques that can be feasibly applied to this unique dataset (b) Utilize ML models to enhance suicide risk detection, support clinical decision making and target intervention.

Award Date
24 June 2022
Award Value
Principal Investigator
Dr Ruth Melia
Host Institution
University of Galway
Fulbright-HRB Health Impact Awards