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

OBJECTIVE: This 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 su...

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Detalles Bibliográficos
Autores principales: Zeleke, Addisu Jember, Palumbo, Pierpaolo, Tubertini, Paolo, Miglio, Rossella, Chiari, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426288/
https://www.ncbi.nlm.nih.gov/pubmed/37588696
http://dx.doi.org/10.3389/frai.2023.1179226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426288/
https://www.ncbi.nlm.nih.gov/pubmed/37588696
http://dx.doi.org/10.3389/frai.2023.1179226

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