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ORCIDÉmilien Arnaud
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2020 – today
- 2024
[c6]Émilien Arnaud, Mahmoud Elbattah, Amandine Pitteman, Gilles Dequen, Daniel Aiham Ghazali, Pedro A. Moreno-Sánchez:
Consistency of XAI Models against Medical Expertise: An Assessment Protocol. ICHI 2024: 732-736- 2023
- [j1]Émilien Arnaud
, Mahmoud Elbattah, Christine Ammirati, Gilles Dequen, Daniel Aiham Ghazali:
Predictive models in emergency medicine and their missing data strategies: a systematic review. npj Digit. Medicine 6 (2023) - [c5]Émilien Arnaud, Mahmoud Elbattah, Pedro A. Moreno-Sánchez, Gilles Dequen, Daniel Aiham Ghazali:
Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. IEEE Big Data 2023: 4843-4847 - 2022
- [c4]Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen:
Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models. HEALTHINF 2022: 835-841 - 2021
- [c3]Mahmoud Elbattah, Émilien Arnaud, Maxime Gignon, Gilles Dequen:
The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications. HEALTHINF 2021: 825-832 - [c2]Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen:
NLP-Based Prediction of Medical Specialties at Hospital Admission Using Triage Notes. ICHI 2021: 548-553 - 2020
- [c1]Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen:
Deep Learning to Predict Hospitalization at Triage: Integration of Structured Data and Unstructured Text. IEEE BigData 2020: 4836-4841
Coauthor Index
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