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Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies.

Brendan Loo GeeJin HanHelen BenassiPhilip J Batterham
Published in: Digital health (2020)
Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours.
Keyphrases
  • machine learning
  • risk factors
  • depressive symptoms
  • case control
  • physical activity
  • human health
  • palliative care
  • artificial intelligence
  • deep learning