The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals

The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals

ObjectiveThe COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic.MethodsT...

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Bibliographic Details
Main Authors: Yang Liu, Renzhao Liang, Chengzhi Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Digital Health
Subjects:
length of stay
COVID-19 pandemic
machine leaning
medical insurance
household registration
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2024.1506071/full
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