Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis

Machine learning-based prediction of hospital prolonged length of stay admission at emergency department: a Gradient Boosting algorithm analysis

ObjectiveThis study aims to develop and compare different models to predict the Length of Stay (LoS) and the Prolonged Length of Stay (PLoS) of inpatients admitted through the emergency department (ED) in general patient settings. This aim is not only to promote any specific model but rather to sugg...

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Bibliographic Details
Main Authors: Addisu Jember Zeleke, Pierpaolo Palumbo, Paolo Tubertini, Rossella Miglio, Lorenzo Chiari
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
emergency department
prolonged length of stay
machine learning
prediction
classification
regression
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1179226/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2023.1179226/full

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