Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five different chronic conditions. METHODS: An administrative claim dataset (2008–2012) of a...

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Detalles Bibliográficos
Autores principales: Symum, Hasan, Zayas-Castro, José L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010949/
https://www.ncbi.nlm.nih.gov/pubmed/32082697
http://dx.doi.org/10.4258/hir.2020.26.1.20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010949/
https://www.ncbi.nlm.nih.gov/pubmed/32082697
http://dx.doi.org/10.4258/hir.2020.26.1.20

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