Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge

BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals during periods of increased infection incidence, such as seasonal influenza and the COVID-19 pandemic. The objective of this study was to develop and evaluate the efficacy of machine learning methods at i...

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Detalles Bibliográficos
Autores principales: Bishop, Jennifer A., Javed, Hamza A., el-Bouri, Rasheed, Zhu, Tingting, Taylor, Thomas, Peto, Tim, Watkinson, Peter, Eyre, David W., Clifton, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610279/
https://www.ncbi.nlm.nih.gov/pubmed/34813632
http://dx.doi.org/10.1371/journal.pone.0260476

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610279/
https://www.ncbi.nlm.nih.gov/pubmed/34813632
http://dx.doi.org/10.1371/journal.pone.0260476

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