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. 2003:2003:1071.

BioSTORM: a system for automated surveillance of diverse data sources

Martin J O'Connor  1 , David L Buckeridge, Michael Choy, Monica Crubezy, Zachary Pincus, Mark A Musen
Affiliations

BioSTORM: a system for automated surveillance of diverse data sources

Martin J O'Connor et al. AMIA Annu Symp Proc. 2003.

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).

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References

    1. O’Connor et al A Knowledge-Based Approach to Deploying Problem Solvers. AMIA Annual Symposium November, 2003.
    1. Buckeridge et al A Modular Framework for Automated Space–Time Surveillance Analysis of Public Health Data. AMIA Annual Symposium November, 2003.
    1. Pincus et al Contextualizing Heterogeneous Data for Integration and Inference. AMIA Annual Symposium November, 2003. - PMC - PubMed