Understanding detection performance in public health surveillance: modeling aberrancy-detection algorithms.
Objective: Statistical aberrancy-detection algorithms play a central role in automated public health systems, analyzing large volumes of clinical and administrative data in real-time with the goal of detecting disease outbreaks rapidly and accurately. Not all algorithms perform equally well in terms...
| Publicado en: | Journal of the American Medical Informatics Association Vol. 15; no. 6; pp. 760 - 770 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Nov/Dec2008
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| Acceso en línea: | Ver este registro en EBSCOhost |