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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639573/ https://www.ncbi.nlm.nih.gov/pubmed/19149886 http://dx.doi.org/10.1186/1472-6947-9-4 |