Application of Machine Learning Techniques to the Prediction of Onset and Persistence of Binge Eating: A Prospective Study.

Journal: European eating disorders review : the journal of the Eating Disorders Association
PMID: 39587822

Abstract

OBJECTIVE: Machine learning (ML) techniques have shown promise for enhancing prediction of clinical outcomes; however, its application to predicting binge eating has been scarcely explored. We applied ML techniques to predict binge eating onset (vs. continued absence) and persistence (vs. remission) over time.

Authors

  • Zoe McClure
    School of Psychology, Deakin University, Geelong, Australia.
  • Christopher J Greenwood
    Centre for Social and Early Emotional Development and School of Psychology, Deakin University, Geelong, Victoria.
  • Matthew Fuller-Tyszkiewicz
    School of Psychology, Deakin University, Geelong, Victoria, Australia.
  • Mariel Messer
    School of Psychology, Deakin University, Geelong, Victoria, Australia.
  • Jake Linardon
    School of Psychology, Deakin University, Geelong, Victoria, Australia.

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