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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Detalles Bibliográficos
Autores principales: Najmi, Amir-Homayoon, Burkom, Howard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
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

Internet

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

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