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

Natural Language Processing (29) Artificial Intelligence (1216) Machine Learning (1401) Clinical Informatics (919) Natural Language Processing (650) Machine Learning (52)

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

Authors of this article:

Gabrielle Chenais1 Author Orcid Image ;   Cédric Gil-Jardiné1, 2 Author Orcid Image ;   Hélène Touchais1 Author Orcid Image ;   Marta Avalos Fernandez1, 3 Author Orcid Image ;   Benjamin Contrand1 Author Orcid Image ;   Eric Tellier1, 2 Author Orcid Image ;   Xavier Combes2 Author Orcid Image ;   Loick Bourdois1 Author Orcid Image ;   Philippe Revel2 Author Orcid Image ;   Emmanuel Lagarde1 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.