Using machine learning to identify features associated with different types of self-injurious behaviors in autistic youth.

Journal: Psychological medicine
PMID: 40162513

Abstract

BACKGROUND: Self-injurious behaviors (SIB) are common in autistic people. SIB is mainly studied as a broad category, rather than by specific SIB types. We aimed to determine associations of distinct SIB types with common psychiatric, emotional, medical, and socio-demographic factors.

Authors

  • Ligia Antezana
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Caitlin M Conner
    Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Safaa Eldeeb
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Samuel Turecki
    Division of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
  • Matthew Siegel
    Departments of Psychiatry and Pediatrics, Tufts University School of Medicine, Medford, MA, USA.
  • Helmet T Karim
    Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Carla A Mazefsky
    University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

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