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Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort.

Daniel LeightleyVictoria WilliamsonJohn DarbyNicola T Fear
Published in: Journal of mental health (Abingdon, England) (2018)
Detection of probable PTSD based on self-reported measurement data is feasible, may greatly reduce the burden on public health and improve operational efficiencies by enabling early intervention, before manifestation of symptoms.
Keyphrases
  • machine learning
  • public health
  • big data
  • electronic health record
  • randomized controlled trial
  • posttraumatic stress disorder
  • artificial intelligence
  • cross sectional
  • sleep quality
  • physical activity
  • label free