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Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
BACKGROUND: The main objective of this study is to apply autoregressive integrated moving average (ARIMA) models to make real-time predictions on the number of beds occupied in Tan Tock Seng Hospital, during the recent SARS outbreak. METHODS: This is a retrospective study design. Hospital admission...
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Main Authors: | , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
BioMed Central
2005
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Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1274243/ https://ncbi.nlm.nih.gov/pubmed/15885149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6963-5-36 |
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