This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (275) Clinical Informatics (1050) Machine Learning (1501) Design of Processes and Workflows (108) Validity, Reliability, and Bias (94) E-Health / Health Services Research and New Models of Care (542)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58978, first published .
Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study

Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study

Evaluating the Bias in Hospital Data: Automatic Preprocessing of Patient Pathways Algorithm Development and Validation Study

Authors of this article:

Laura Uhl1 Author Orcid Image ;   Vincent Augusto1 Author Orcid Image ;   Benjamin Dalmas1 Author Orcid Image ;   Youenn Alexandre2 Author Orcid Image ;   Paolo Bercelli2 Author Orcid Image ;   Fanny Jardinaud3 Author Orcid Image ;   Saber Aloui4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Laura Uhl   1 , MSc, ING ;   Vincent Augusto   1 , Prof Dr ;   Benjamin Dalmas   1 , PhD ;   Youenn Alexandre   2 , PhD ;   Paolo Bercelli   2 , MD ;   Fanny Jardinaud   3 , PhD ;   Saber Aloui   4 , PhD

1 Mines Saint-Etienne Centre Ingénierie Santé, Unité Mixte de Recherche (UMR) 6158 Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Centre national de la recherche scientifique (CNRS), Saint-Etienne, France

2 Groupe Hospitalier Bretagne Sud, Lorient, France

3 Direction Anticipation & Usages, Enovacom, Marseille, France

4 Inserm, UMR 1085 Ester, Centre Hospitalier Universitaire Angers, Angers, France

Corresponding Author:

  • Laura Uhl, MSc, ING
  • Mines Saint-Etienne Centre Ingénierie Santé
  • Unité Mixte de Recherche (UMR) 6158 Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS)
  • Centre national de la recherche scientifique (CNRS)
  • 158 cours Fauriel
  • Saint-Etienne, 42000
  • France
  • Phone: 33 477420123
  • Email: l.uhl@emse.fr