Identification

Author

O'Connor MJ, Buckeridge DL, Choy M, Crubezy M, Pincus Z, et al.

Title

BioSTORM: A system for automated surveillance of diverse data sources

Year

2003

Publication type

In proceedings

Journal

AMIA Annual Symposium Proceedings

Created

2014-06-06 16:03:31+00:00

Modified

2016-08-09 21:01:47.524202+00:00

Details

Volume

2003

Pages

1071

Access

Language

English

URL http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480334/
Accessed

2016-06-28

Extended information

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).