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Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning
BACKGROUND: Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for p...
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| Veröffentlicht in: | BMC Infect Dis |
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| Hauptverfasser: | , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8295642/ https://ncbi.nlm.nih.gov/pubmed/34294037 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-021-06371-6 |
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