Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining

Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining

Length of Stay (LOS) is an important performance metric in Australian Emergency Departments (EDs). Recent evidence suggests that an LOS in excess of 4 h may be associated with increased mortality, but despite this, the average LOS continues to remain greater than 4 h in many EDs. Previous studies ha...

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Bibliographic Details
Main Authors: Sai Gayatri Gurazada, Shijia (Caddie) Gao, Frada Burstein, Paul Buntine
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
clinical decision support
data mining models
emergency department
length of stay
predictive data mining
Weka
Online Access:https://www.mdpi.com/1424-8220/22/13/4968

Internet

https://www.mdpi.com/1424-8220/22/13/4968

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