BioSTORM: a system for automated surveillance of diverse data sources.
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).
O'Connor
Martin J
MJ
Stanford Medical Informatics, Stanford University School of Medicine, CA, USA.
Buckeridge
David L
DL
Choy
Michael
M
Crubezy
Monica
M
Pincus
Zachary
Z
Musen
Mark A
MA
D023482:Bioterrorism; D003625:Data Collection; D004196:Disease Outbreaks; D006801:Humans; D007256:Information Systems; D011159:Population Surveillance / Q000379:methods*