A unified machine learning approach to time series forecasting applied to demand at emergency departments

A unified machine learning approach to time series forecasting applied to demand at emergency departments

Abstract Background There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 corresponding to an increase of 12 million attendances over the past ten years. The steadily rising demand at EDs creates a constant challenge to provide adequate quality of care while maintaini...

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Bibliographic Details
Main Authors: Michaela A.C. Vollmer, Ben Glampson, Thomas Mellan, Swapnil Mishra, Luca Mercuri, Ceire Costello, Robert Klaber, Graham Cooke, Seth Flaxman, Samir Bhatt
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Emergency Medicine
Subjects:
Machine learning
Time series analysis
Emergency department demand
Ensemble predictions
Online Access:https://doi.org/10.1186/s12873-020-00395-y

Internet

https://doi.org/10.1186/s12873-020-00395-y

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