Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study

Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study

Abstract Introduction Overcrowding in emergency departments (ED) is a major public health issue, leading to increased workload and exhaustion for the teams, resulting poor outcomes. It seems interesting to be able to predict the admissions of patients in the ED. Aim The main objective of this study...

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Bibliographic Details
Main Authors: Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Emergency Medicine
Subjects:
Emergency department
Artificial intelligence
Overcrowding
Online Access:https://doi.org/10.1186/s12873-024-01141-4
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https://doi.org/10.1186/s12873-024-01141-4

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