BioSTORM: a system for automated surveillance of diverse data sources.

Martin J. O'Connor, David L. Buckeridge, Michael Choy, Monica Crubezy, Zachary Pincus, Mark A. Musen

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

Heightened concerns about bioterrorism are forcing changes to the traditional biosurveillance-model. Public health departments are under pressure to follow multiple, non-specific, pre-diagnostic indicators, often drawn from many data sources. As a result, there is a need for biosurveillance systems that can use a variety of analysis techniques to rapidly integrate and process multiple diverse data feeds using a variety of problem solving techniques to give timely analysis. To meet these requirements, we are developing a new system called BioSTORM (Biological Spatio-Temporal Outbreak Reasoning Module).

Original languageEnglish
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003
Externally publishedYes

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