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Early warning systems in inpatient anorexia nervosa: A validation of the MARSIPAN-based modified early warning system.

Konstantinos IoannidisJaco SerfonteinJulia DeakinMelanie BruneauAnya CiobancaLeah HoltSarah SnelsonJan Stochl
Published in: European eating disorders review : the journal of the Eating Disorders Association (2020)
MARSI MEWS seems most suitable for identifying critically deteriorating cases in anorexia nervosa inpatient population. We did not examine community practice in which the PREDIX arguably remains the best to ascertain deteriorating cases. Our results also provide a first proof of concept for the development of artificial-intelligence-based early warning systems in anorexia nervosa. Implications for inpatient clinical practice in eating disorders are discussed.
Keyphrases
  • anorexia nervosa
  • artificial intelligence
  • mental health
  • palliative care
  • clinical practice
  • machine learning
  • acute care
  • healthcare
  • big data
  • deep learning
  • primary care