Review of machine learning solutions for eating disorders.

Journal: International journal of medical informatics
PMID: 38935998

Abstract

BACKGROUND: Eating Disorders (EDs) are one of the most complex psychiatric disorders, with significant impairment of psychological and physical health, and psychosocial functioning, and are associated with low rates of early detection, low recovery and high relapse rates. This underscores the need for better diagnostic and treatment methods.

Authors

  • Sreejita Ghosh
    Dept. M & CS, Technical University of Eindhoven, Groene Loper 5, 5612 AZ Eindhoven, the Netherlands. Electronic address: s.ghosh1@tue.nl.
  • Pia Burger
    Center of Eating Disorders, GGZ Oost-Brabant, Wesselmanlaan 25a, 5707 HA Helmond, the Netherlands. Electronic address: p.burger@ggzoostbrabant.nl.
  • Mladena Simeunovic-Ostojic
    Center of Eating Disorders, GGZ Oost-Brabant, Wesselmanlaan 25a, 5707 HA Helmond, the Netherlands.
  • Joyce Maas
    Center for Eating Disorders, GGZ Oost Brabant, The Netherlands.
  • Milan Petković
    Eindhoven University of Technology, The Netherlands.

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