Neural Language Model for Automated Classification of Electronic Medical Records at the Emergency Room. The Significant Benefit of Unsupervised Generative Pre-training. - Binbin Xu 002; Cédric Gil-Jardiné; Frantz Thiessard; Eric Tellier; Marta Avalos; Emmanuel Lagarde (CoRR, 2019)

Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model. - Binbin Xu 002; Cédric Gil-Jardiné; Frantz Thiessard; Eric Tellier; Marta Avalos Fernandez; Emmanuel Lagarde (FLAIRS, 2020)

De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems. - Loick Bourdois; Marta Avalos; Gabrielle Chenais; Frantz Thiessard; Philippe Revel; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2021)

Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data. - Alexandre Naprous; Marta Avalos Fernandez; Catherine Pradeau; Emmanuel Lagarde; Cédric Gil-Jardiné (FLAIRS, 2022)

Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals. - Charlotte Blot; Katia Weickert; Arthur Payros; Marta Avalos; Cédric Gil-Jardiné (FLAIRS, 2023)

Detecting Human Bias in Emergency Triage Using LLMs - Literature Review, Preliminary Study, and Experimental Plan. - Marta Avalos; Dalia Cohen; Dylan Russon; Melissa Davids; Oceane Doremus; Gabrielle Chenais; Eric Tellier; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2024)

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. - Dylan Russon; Marta Avalos; Ariel Guerra-Adames; Cédric Gil-Jardiné; Emmanuel Lagarde (FLAIRS, 2024)

Uncovering Judgment Biases in Emergency Triage: A Public Health Approach Based on Large Language Models. - Ariel Guerra-Adames; Marta Avalos Fernandez; Oceane Doremus; Cédric Gil-Jardiné; Emmanuel Lagarde (ML4H@NeurIPS, 2024)