Emilien Arnaud

Emilien Arnaud
Centre Hospitalier Universitaire d'Amiens | CHU Amiens · Service des Urgences - SAMU 80

Doctor of Medicine

About

11
Publications
990
Reads
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115
Citations
Citations since 2017
11 Research Items
115 Citations
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Publications

Publications (11)
Article
Full-text available
Background: During the coronavirus disease 2019 (COVID-19) pandemic, calculation of the number of emergency department (ED) beds required for patients with vs. without suspected COVID-19 represented a real public health problem. In France, Amiens Picardy University Hospital (APUH) developed an Artificial Intelligence (AI) project called "Predictio...
Conference Paper
Full-text available
The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an application of transformers to learn contextual embeddings from free-text triage notes, widely reco...
Conference Paper
Data Analytics is rapidly expanding within the healthcare domain to help develop strategies for improving the quality of care and curbing costs as well. Natural Language Processing (NLP) solutions have received particular attention whereas a large part of clinical data is stockpiled into unstructured physician or nursing notes. In this respect, we...
Book
9th IEEE International Conference on Healthcare Informatics (IEEE ICHI), ELECTR NETWORK, AUG 09-12, 2021
Conference Paper
Full-text available
The implementation of Data Analytics has achieved a significant momentum across a very wide range of domains. Part of that progress is directly linked to the implementation of Text Analytics solutions. Organisations increasingly seek to harness the power of Text Analytics to automate the process of gleaning insights from unstructured textual data....
Conference Paper
Overcrowding in Emergency Departments (ED) is considered as an international issue, which could have adverse impacts on multiple care outcomes such as the length of stay for example. Part of the solution could lie in the early prediction of the patient outcome as discharge or hospitalization. This study applies Deep Learning to this end. A large-sc...
Article
Full-text available
Lung ultrasound could facilitate the triage of patients with suspected COVID‐19 infection admitted to the emergency room. We developed a predictive model for COVID‐19 diagnosis based on lung ultrasound and clinical features. We used ultrasound to image the lung bilaterally at two anterior sites, one and two hands below each clavicle, and a posterol...

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Projects

Project (1)
Project
Prédire le parcours de soin du patient à partir des données de prise en charge aux urgences