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Screening four broad categories of eating disorders: suitability of a clinical algorithm adapted from the SCOFF questionnaire.

Marie-Pierre TavolacciAndré GillibertAurélien Zhu SoubiseSébastien GrigioniPierre Déchelotte
Published in: BMC psychiatry (2019)
In a SCOFF-positive ED population (at least two positive answers), the clinical algorithm Expali™ demonstrated good suitability by correctly classifying three of the four Broad Categories of eating disorders (restrictive, bulimic and hyperphagic disorder). It could be useful both to healthcare professionals and the general population to enable earlier detection and treatment of ED and to improve patient outcomes.
Keyphrases
  • emergency department
  • machine learning
  • deep learning
  • cross sectional
  • neural network
  • replacement therapy
  • sensitive detection