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Examining Passively Collected Smartphone-Based Data in the Days Prior to Psychiatric Hospitalization for a Suicidal Crisis: Comparative Case Analysis.

Ross C JacobucciBrooke A AmmermanNilàm Ram
Published in: JMIR formative research (2024)
Our preliminary findings underscore the potential of passively collected data in understanding and predicting suicidal crises. The vast number of screenshots from each participant offers a granular look into their daily digital interactions, shedding light on novel risks not captured via self-report alone. When combined with EMA assessments, screenomics provides a more comprehensive view of an individual's psychological processes in the time leading up to a suicidal crisis.
Keyphrases
  • depressive symptoms
  • public health
  • electronic health record
  • big data
  • human health
  • mental health
  • physical activity
  • data analysis
  • sleep quality
  • risk assessment
  • climate change
  • deep learning