Psychosocial profiles and their predictors in epilepsy using patient-reported outcomes and machine learning.

Journal: Epilepsia
PMID: 34080185

Abstract

OBJECTIVE: To apply unsupervised machine learning to patient-reported outcomes to identify clusters of epilepsy patients exhibiting unique psychosocial characteristics.

Authors

  • Colin B Josephson
    Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Jordan D T Engbers
    Desid Labs, Calgary, Alberta, Canada.
  • Meng Wang
    State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150001, China.
  • Kevin Perera
    University of Calgary, Calgary, Alberta, Canada.
  • Pamela Roach
    Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Tolulope T Sajobi
    Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Samuel Wiebe
    Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

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