Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Published Date: Sep 26, 2021

Abstract

BACKGROUND: Messages from an Internet forum are raw material that emerges in a natural setting (i.e., non-induced by a research situation).

Authors

  • Laetitia Ricci
    CHRU-Nancy, INSERM, Université de Lorraine, CIC 1433 Clinical Epidemiology, F-54000 Nancy, France. Electronic address: l.ricci@chru-nancy.fr.
  • Yannick Toussaint
    Université de Lorraine, CNRS, Inria, LORIA, Nancy, France.
  • Justine Becker
    Ecole des mines de Nancy, Université de Lorraine, Nancy, France. Electronic address: justine.becker5@etu.univ-lorraine.fr.
  • Hiba Najjar
    Ecole des mines de Nancy, Université de Lorraine, Nancy, France. Electronic address: hiba.najjar@etu.mines-nancy.univ-lorraine.fr.
  • Alix Renier
    Ecole des mines de Nancy, Université de Lorraine, Nancy, France. Electronic address: alix.renier@etu.mines-nancy.univ-lorraine.fr.
  • Myriam Choukour
    INSERM, U1256 NGERE and gastroenterology Department, CHRU-Nancy, Université de Lorraine, Nancy, France. Electronic address: m.choukour@chru-nancy.fr.
  • Anne Buisson
    afa Crohn RCH, France.
  • Corinne Devos
    afa Crohn RCH, France.
  • Jonathan Epstein
    CHRU-Nancy, INSERM, Université de Lorraine, CIC 1433 Clinical Epidemiology, F-54000 Nancy, France; Université de Lorraine, APEMAC, F-54000 Nancy, France. Electronic address: j.epstein@chru-nancy.fr.
  • Laurent Peyrin Biroulet
    INSERM, U1256 NGERE and gastroenterology Department, CHRU-Nancy, Université de Lorraine, Nancy, France.
  • Francis Guillemin
    CIC1433-Epidémiologie Clinique, Inserm, Centre Hospitalier Régional et Universitaire de Nancy, Université de Lorraine, Nancy, France.

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