Category-Specific Comparison of Univariate Alerting Methods for Biosurveillance Decision Support

OBJECTIVE: For a multi-source decision support application, we sought to match univariate alerting algorithms to surveillance data types to optimize detection performance. INTRODUCTION: Temporal alerting algorithms commonly used in syndromic surveillance systems are often adjusted for data features...

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Detalles Bibliográficos
Autores principales: Elbert, Yevgeniy, Hung, Vivian, Burkom, Howard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2013
Materias:
ISDS 2012 Conference Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692938/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692938/

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