Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.

Authors

  • Sana Syed
    School of Medicine, University of Virginia, Charlottesville, VA.
  • Mohammad Al-Boni
    Systems and Information Engineering, University of Virginia, Charlottesville.
  • Marium N Khan
    Division of Pediatric Gastroenterology and Hepatology, Department of Pediatrics, University of Virginia, Charlottesville.
  • Kamran Sadiq
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Najeeha T Iqbal
    Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Christopher A Moskaluk
    Deparment of Pathology, University of Virginia, Charlottesville.
  • Paul Kelly
    Blizard Institute, Barts and The London School of Medicine, Queen Mary University of London, London, United Kingdom.
  • Beatrice Amadi
    Tropical Gastroenterology and Nutrition Group, University of Zambia School of Medicine, Lusaka, Zambia.
  • S Asad Ali
    Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Sean R Moore
    Division of Pediatric Gastroenterology and Hepatology, Department of Pediatrics, University of Virginia, Charlottesville.
  • Donald E Brown
    School of Data Science, University of Virginia, Charlottesville, VA.