Identifying Preliminary Risk Profiles for Dissociation in 16- to 25-Year-Olds Using Machine Learning.

Journal: Early intervention in psychiatry
PMID: 39925201

Abstract

INTRODUCTION: Dissociation is associated with clinical severity, increased risk of suicide and self-harm, and disproportionately affects adolescents and young adults. Whilst evidence indicates multiple factors contribute to dissociative experiences, a multi-factorial explanation of increased risk for dissociation has yet to be achieved.

Authors

  • Roberta McGuinness
    School of Psychology, University of Birmingham, Birmingham, UK.
  • Daniel Herring
    School of Mathematics, University of Birmingham, Birmingham, UK.
  • Xinyi Wu
    Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230032, PR China.
  • Maryam Almandi
    School of Psychology, University of Birmingham, Birmingham, UK.
  • Daveena Bhangu
    School of Psychology, University of Birmingham, Birmingham, UK.
  • Lucia Collinson
    School of Psychology, University of Birmingham, Birmingham, UK.
  • Xiaocheng Shang
    School of Mathematics, University of Birmingham, Birmingham, UK.
  • Emma Černis
    School of Psychology, University of Birmingham, Birmingham, UK.

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