FORECASTING PATIENT LENGTH OF STAY IN AN EMERGENCY DEPARTMENT BY ARTIFICIAL NEURAL NETWORKS

FORECASTING PATIENT LENGTH OF STAY IN AN EMERGENCY DEPARTMENT BY ARTIFICIAL NEURAL NETWORKS

Emergency departments (EDs) have faced with high patient demand during peak hours in comparison to the other departments of hospitals because of their complexity and uncertainty. Therefore prolonged waiting times in EDs have caused the dissatisfaction on patients. Patient length of stay (LOS), also...

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Bibliographic Details
Main Authors: Muhammet Gül, Ali Fuat Güneri
Format: Article
Language:English
Published: Turkish Air Force Academy 2015-07-01
Series:Havacılık ve Uzay Teknolojileri Dergisi
Subjects:
Forecasting
Patient Length of Stay
Emergency Department
Artificial Neural Networks
Online Access:http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/50/43

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