Émilien Arnaud

According to our database, Émilien Arnaud authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Consistency of XAI Models against Medical Expertise: An Assessment Protocol.

Émilien Arnaud, Mahmoud Elbattah, Amandine Pitteman, Gilles Dequen, Daniel Aiham Ghazali, Pedro A. Moreno-Sánchez

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

Predictive models in emergency medicine and their missing data strategies: a systematic review.

Émilien Arnaud, Mahmoud Elbattah, Christine Ammirati, Gilles Dequen, Daniel Aiham Ghazali

npj Digit. Medicine, 2023

Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes.

Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models.

Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes.

Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications.

Mahmoud Elbattah, Émilien Arnaud, Maxime Gignon, Gilles Dequen

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text.

Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020