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Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection.
Syed, Sana; Ehsan, Lubaina; Shrivastava, Aman; Sengupta, Saurav; Khan, Marium; Kowsari, Kamran; Guleria, Shan; Sali, Rasoul; Kant, Karan; Kang, Sung-Jun; Sadiq, Kamran; Iqbal, Najeeha T; Cheng, Lin; Moskaluk, Christopher A; Kelly, Paul; Amadi, Beatrice C; Asad Ali, Syed; Moore, Sean R; Brown, Donald E.
Afiliación
  • Syed S; Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Ehsan L; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Shrivastava A; Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Sengupta S; Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Khan M; Data Science Institute, University of Virginia, Charlottesville.
  • Kowsari K; Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Guleria S; Data Science Institute, University of Virginia, Charlottesville.
  • Sali R; Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Kant K; Systems and Information Engineering, University of Virginia, Charlottesville, VA.
  • Kang SJ; University of California Los Angeles, Los Angeles, CA.
  • Sadiq K; School of Medicine, University of Virginia, Charlottesville, VA.
  • Iqbal NT; Systems and Information Engineering, University of Virginia, Charlottesville, VA.
  • Cheng L; Data Science Institute, University of Virginia, Charlottesville.
  • Moskaluk CA; Data Science Institute, University of Virginia, Charlottesville.
  • Kelly P; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Amadi BC; Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Asad Ali S; Pathology Department, Rush University Medical Center, Chicago, IL.
  • Moore SR; Department of Pathology, University of Virginia, Charlottesville, VA.
  • Brown DE; Tropical Gastroenterology and Nutrition group, University of Zambia School of Medicine, Lusaka, Zambia.
J Pediatr Gastroenterol Nutr ; 72(6): 833-841, 2021 06 01.
Article en En | MEDLINE | ID: mdl-33534362
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedad Celíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Child / Child, preschool / Humans / Male Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedad Celíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Child / Child, preschool / Humans / Male Idioma: En Año: 2021 Tipo del documento: Article