Enhancing Time-Series Detection Algorithms for Automated Biosurveillance

BioSense is a US national system that uses data from health information systems for automated disease surveillance. We studied 4 time-series algorithm modifications designed to improve sensitivity for detecting artificially added data. To test these modified algorithms, we used reports of daily synd...

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Detalles Bibliográficos
Autores principales: Tokars, Jerome I., Burkom, Howard, Xing, Jian, English, Roseanne, Bloom, Steven, Cox, Kenneth, Pavlin, Julie A.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671446/
https://www.ncbi.nlm.nih.gov/pubmed/19331728
http://dx.doi.org/10.3201/1504.080616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671446/
https://www.ncbi.nlm.nih.gov/pubmed/19331728
http://dx.doi.org/10.3201/1504.080616

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