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Recursive least squares background prediction of univariate syndromic surveillance data
BACKGROUND: Surveillance of univariate syndromic data as a means of potential indicator of developing public health conditions has been used extensively. This paper aims to improve the performance of detecting outbreaks by using a background forecasting algorithm based on the adaptive recursive leas...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2639573/ https://ncbi.nlm.nih.gov/pubmed/19149886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-9-4 |
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