Literature DB >> 14728574

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

Martin J O'Connor1, David L Buckeridge, Michael Choy, Monica Crubezy, Zachary Pincus, Mark A Musen.   

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).

Mesh:

Year:  2003        PMID: 14728574      PMCID: PMC1480334     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  1 in total

1.  Contextualizing heterogeneous data for integration and inference.

Authors:  Zachary Pincus; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2003
  1 in total
  2 in total

Review 1.  Passive and active vaccination strategies to prevent ricin poisoning.

Authors:  Seth H Pincus; Joan E Smallshaw; Kejing Song; Jody Berry; Ellen S Vitetta
Journal:  Toxins (Basel)       Date:  2011-09-15       Impact factor: 4.546

2.  The role of internists during epidemics, outbreaks, and bioterrorist attacks.

Authors:  Bruce Y Lee
Journal:  J Gen Intern Med       Date:  2007-01       Impact factor: 5.128

  2 in total

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