Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19

Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19

Abstract Background The exponential spread of coronavirus disease 2019 (COVID-19) causes unexpected economic burdens to worldwide health systems with severe shortages in hospital resources (beds, staff, equipment). Managing patients’ length of stay (LOS) to optimize clinical care and utilization of...

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Bibliographic Details
Main Authors: Azam Orooji, Mostafa Shanbehzadeh, Esmat Mirbagheri, Hadi Kazemi-Arpanahi
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
Coronavirus
Artificial neural networks
Training algorithms
Length of stay
Online Access:https://doi.org/10.1186/s12879-022-07921-2

Internet

https://doi.org/10.1186/s12879-022-07921-2

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