Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder.

Journal: Psychological medicine
PMID: 38775092

Abstract

BACKGROUND: Machine learning could predict binge behavior and help develop treatments for bulimia nervosa (BN) and alcohol use disorder (AUD). Therefore, this study evaluates person-specific and pooled prediction models for binge eating (BE), alcohol use, and binge drinking (BD) in daily life, and identifies the most important predictors.

Authors

  • N Leenaerts
    Department of Neurosciences, KU Leuven, Leuven Brain Institute, Research Group Psychiatry, Leuven, Belgium.
  • P Soyster
    Department of Psychology, Idiographic Dynamics Lab, University of California, Berkeley, USA.
  • J Ceccarini
    Department of Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven Brain Institute, Research Nuclear Medicine & Molecular Imaging, Leuven, Belgium.
  • S Sunaert
    Department of Imaging and Pathology, Translational MRI, Biomedical Sciences Group, KU Leuven, Belgium.
  • A Fisher
    Department of Psychology, Idiographic Dynamics Lab, University of California, Berkeley, USA.
  • E Vrieze
    Department of Neurosciences, KU Leuven, Leuven Brain Institute, Research Group Psychiatry, Leuven, Belgium.

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