Progressive prediction of hospitalisation and patient disposition in the emergency department-Reference-Cited by-同舟云学术

Progressive prediction of hospitalisation and patient disposition in the emergency department

Published:2022-12-17 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Big Data (Big Data)
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Author:

Uhl Laura¹,Augusto Vincent¹,Lemaire Vincent²,Alexandre Youenn³,Jardinaud Fanny⁴,Bercelli Paolo⁵,Aloui Saber⁶

Affiliation:

1. Univ Clermont Auvergne, INP Clermont Auvergne, CNRS,UMR 6158 LIMOS, Centre CIS Mines Saint-Etienne,Saint-Etienne,France

2. Orange Research Orange,Lannion,France

3. Unité de Recherche Clinique,Groupe Hospitalier Bretagne Sud,Lorient,France

4. Direction Produits Enovacom,Marseille,France

5. Groupe Hospitalier Bretagne Sud,Département d’Information Médicale,Lorient,France

6. CHU d’Angers,Services Numériques,Angers,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020777.pdf?arnumber=10020777

Reference39 articles.

1. Using Data Mining to Predict Hospital Admissions From the Emergency Department

2. Khiops: outil d’apprentissage supervisé automatique pour la fouille de grandes bases de données multi-tables;boullé;Revue des Nouvelles Technologies de l’Information vol 16ème Journées Francophones Extraction et Gestion des Connaissances,2016

3. A simple tool to predict admission at the time of triage

4. Predicting hospital admission for older emergency department patients: Insights from machine learning

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