Émilien Arnaud

Orcid: 0000-0002-6971-009X

According to our database1, Émilien Arnaud authored at least 10 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Explainable Machine Learning-Based Analysis for Identifying Risk Factors of Chronic Obstructive Pulmonary Disease.
Proceedings of the IEEE International Conference on Digital Health, 2025

2024
Prédiction du Parcours Patient aux Urgences : 3P-U. (Prediction of the Patient Care Path in Emergency Department : 3P-U).
PhD thesis, 2024

Consistency of XAI Models against Medical Expertise: An Assessment Protocol.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Exploring the Ethical Challenges of Large Language Models in Emergency Medicine: A Comparative International Review.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Predictive models in emergency medicine and their missing data strategies: a systematic review.
npj Digit. Medicine, 2023

Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models.
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.
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.
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.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020


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