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Cédric Gil-Jardiné
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2020 – today
- 2024
- [c6]Marta Avalos
, Dalia Cohen, Dylan Russon, Melissa Davids, Oceane Doremus, Gabrielle Chenais, Eric Tellier, Cédric Gil-Jardiné, Emmanuel Lagarde:
Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan. FLAIRS 2024 - [c5]Dylan Russon, Marta Avalos
AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities - Human Bias in ED: Implications for AI-Driven Patient Flow Optimization. FLAIRS 2024 - 2023
- [c4]Charlotte Blot, Katia Weickert, Arthur Payros, Marta Avalos, Cédric Gil-Jardiné:
Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals. FLAIRS 2023 - 2022
- [c3]Alexandre Naprous, Marta Avalos Fernandez, Catherine Pradeau, Emmanuel Lagarde, Cédric Gil-Jardiné:
Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data. FLAIRS 2022 - 2021
- [c2]Loick Bourdois, Marta Avalos
De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems. FLAIRS 2021 - 2020
- [c1]Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard, Eric Tellier, Marta Avalos Fernandez, Emmanuel Lagarde:
Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model. FLAIRS 2020: 264-269
2010 – 2019
- 2019
- [i1]Binbin Xu
Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. CoRR abs/1909.01136 (2019)
Coauthor Index
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last updated on 2024-09-10 01:16 CEST by the dblp team
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