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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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Detalhes bibliográficos
Main Authors: Earnest, Arul, Chen, Mark I, Ng, Donald, Sin, Leo Yee
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2005
Assuntos:
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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