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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |