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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...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Centers for Disease Control and Prevention
2009
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| Materias: | |
| 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 |