A multi-granular stacked regression for forecasting long-term demand in Emergency Departments

A multi-granular stacked regression for forecasting long-term demand in Emergency Departments

Abstract Background In the United Kingdom, Emergency Departments (EDs) are under significant pressure due to an ever-increasing number of attendances. Understanding how the capacity of other urgent care services and the health of a population may influence ED attendances is imperative for commission...

Full description

Bibliographic Details
Main Authors: Charlotte James, Richard Wood, Rachel Denholm
Format: Article
Language:English
Published: BMC 2023-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Emergency Department
Population Health
Service demand
Forecasting
Online Access:https://doi.org/10.1186/s12911-023-02109-3

Internet

https://doi.org/10.1186/s12911-023-02109-3

Similar Items