Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40843, first published .
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

Gabrielle Chenais   1 * , MMid, MScPH, MPHDs ;   Cédric Gil-Jardiné   1, 2 * , MD, PhD ;   Hélène Touchais   1 * , MCPM ;   Marta Avalos Fernandez   1, 3 * , PhD ;   Benjamin Contrand   1 * , MSc ;   Eric Tellier   1, 2 * , MD ;   Xavier Combes   2 * , MD ;   Loick Bourdois   1 * , MSc ;   Philippe Revel   2 * , MD ;   Emmanuel Lagarde   1 * , PhD

1 Unit 1219, Bordeaux Public Health Center, Institut National de la Santé et de la Recherche Médicale, Bordeaux, France

2 Emergency Department, Bordeaux University Hospital, Bordeaux, France

3 Statistics in Systems Biology and Translational Medicine Team, University of Bordeaux, Institut National de Recherche en Sciences et Technologies du Numérique, Talence, France

*all authors contributed equally

Corresponding Author:

  • Gabrielle Chenais, MMid, MScPH, MPHDs
  • Unit 1219
  • Bordeaux Public Health Center
  • Institut National de la Santé et de la Recherche Médicale
  • 146 rue Léo Saignat
  • Bordeaux, 33000
  • France
  • Phone: 33 33 05 57 57 15
  • Email: gabrielle.chenais@u-bordeaux.fr