Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles.

Journal: Psychological trauma : theory, research, practice and policy
Published Date: Nov 27, 2023

Abstract

OBJECTIVE: Posttraumatic stress disorder (PTSD) is a debilitating psychiatric illness, experienced by approximately 10% of the population. Heterogeneous presentations that include heightened dissociation, comorbid anxiety and depression, and emotion dysregulation contribute to the severity of PTSD, in turn, creating barriers to recovery. There is an urgent need to use data-driven approaches to better characterize complex psychiatric presentations with the aim of improving treatment outcomes. We sought to determine if machine learning models could predict PTSD-related illness in a real-world treatment-seeking population using self-report clinical data.

Authors

  • Anna H Park
    Department of Psychology, Neuroscience & Behaviour, McMaster University.
  • Herry Patel
    Department of Psychiatry and Behavioural Neurosciences, McMaster University.
  • James Mirabelli
    Department of Psychology, Neuroscience & Behaviour, McMaster University.
  • Stephanie J Eder
    Department of Cognition, Emotion, and Methods in Psychology, University of Vienna.
  • David Steyrl
  • Brigitte Lueger-Schuster
    Department of Clinical and Health Psychology, University of Vienna.
  • Frank Scharnowski
    Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland; Faculty of Psychology, University of Vienna, Austria.
  • Charlene O'Connor
    Homewood Health Centre.
  • Patrick Martin
    School of Computing, Queen's University.
  • Ruth A Lanius
    Department of Neuroscience, Western University, London, ON, Canada.
  • Margaret C McKinnon
    Department of Psychiatry and Behavioural Neuroscience, McMaster University, Hamilton, ON, Canada.
  • Andrew A Nicholson
    Department of Neuroscience, Western University, London, ON, Canada.

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