Machine-learning models for depression and anxiety in individuals with immune-mediated inflammatory disease.

Journal: Journal of psychosomatic research
Published Date: Apr 25, 2020

Abstract

OBJECTIVE: Individuals with immune-mediated inflammatory disease (IMID) have a higher prevalence of psychiatric disorders than the general population. We utilized machine-learning to identify patient-reported outcome measures (PROMs) that accurately predict major depressive disorder (MDD) and anxiety disorder in an IMID population.

Authors

  • Lana G Tennenhouse
    Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada. Electronic address: tennenhl@myumanitoba.ca.
  • Ruth Ann Marrie
    Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada. Electronic address: rmarrie@hsc.mb.ca.
  • Charles N Bernstein
    Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada. Electronic address: Charles.Bernstein@umanitoba.ca.
  • Lisa M Lix
    Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada; George and Faye Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, MB, Canada. Electronic address: Lisa.Lix@umanitoba.ca.

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