The prediction of hospital length of stay using unstructured data

The prediction of hospital length of stay using unstructured data

Abstract Objective This study aimed to assess the performance improvement for machine learning-based hospital length of stay (LOS) predictions when clinical signs written in text are accounted for and compared to the traditional approach of solely considering structured information such as age, gend...

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Bibliographic Details
Main Authors: Jan Chrusciel, François Girardon, Lucien Roquette, David Laplanche, Antoine Duclos, Stéphane Sanchez
Format: Article
Language:English
Published: BMC 2021-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Emergency department
Length of stay
Data mining
Health services research
Online Access:https://doi.org/10.1186/s12911-021-01722-4

Internet

https://doi.org/10.1186/s12911-021-01722-4

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