Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

Abstract Background and objective Emergency Department (ED) overcrowding is a chronic international issue that is associated with adverse treatment outcomes. Accurate forecasts of future service demand would enable intelligent resource allocation that could alleviate the problem. There has been cont...

Full description

Bibliographic Details
Main Authors: Jalmari Tuominen, Francesco Lomio, Niku Oksala, Ari Palomäki, Jaakko Peltonen, Heikki Huttunen, Antti Roine
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Emergency department
Crowding
Feature selection
Machine learning
Time series forecasting
Statistical learning
Online Access:https://doi.org/10.1186/s12911-022-01878-7

Similar Items

Similar Items