Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.
<h4>Background</h4>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 le...
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Auteurs principaux: | , , , , , , , , |
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Format: | article |
Langue: | EN |
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Public Library of Science (PLoS)
2021
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Accès en ligne: | https://doaj.org/article/19881aa63b3f4013ab930da573e10bdd |
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