Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department
As the COVID-19 pandemic has affected the globe, health systems worldwide have also been significantly affected. This pandemic has impacted many sectors, including health in the Kingdom of Jordan. Crises that put heavy pressure on the health systems’ shoulders include the emergency departments (ED),...
Main Authors: | Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2023-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2023/8063846 |
Similar Items
-
An integrated multi-criteria decision-making framework for a medical device selection in the healthcare industry
by: Mohammad A. Shbool, et al.
Published: (2021-01-01) -
Investigating Indicators of Waiting Time and Length of Stay in Emergency Departments
by: Al Nhdi N, et al.
Published: (2021-07-01) -
Emergency Department Length of Stay: Accuracy of Patient Estimates
by: Brendan T. Parker, et al.
Published: (2014-03-01) -
Factors Affecting Length of Stay in the Pediatric Emergency Department
by: Sung-Tse Li, et al.
Published: (2013-06-01) -
The emergency department length of stay: Is the time running out?
by: Alexander Becker, et al.
Published: (2019-06-01)