Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction

Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction

BackgroundDischarge date prediction plays a crucial role in healthcare management, enabling efficient resource allocation and patient care planning. Accurate estimation of the discharge date can optimize hospital operations and facilitate better patient outcomes.Materials and methodsIn this study, w...

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Bibliographic Details
Main Authors: Mohammed A. Mahyoub, Kacie Dougherty, Ravi R. Yadav, Raul Berio-Dorta, Ajit Shukla
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Digital Health
Subjects:
discharge date prediction
discharge planning
machine learning
XGBoost
machine learning operations
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2024.1455446/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2024.1455446/full

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