Ontology-centered syndromic surveillance for bioterrorism

Monica Crubézy, Martin O'Connor, Zachary Pincus, Mark A. Musen, David L. Buckeridge

Research output: Contribution to journalReview articlepeer-review

32 Scopus citations


The use of ontologies to model and annotate syndromic surveillance information and knowledge is described. Ontologies are computer-stored specifications of concepts, properties, and relationships that are important for describing an area of expertise. It is observed that BioStorm can help by supporting ontology based data integration and problem-solver deployment. BioStorm demonstrates an end-to-end solution to many problems associated with data acquisition, integration, and analysis for public health surveillance.

Original languageEnglish
Pages (from-to)26-35
Number of pages10
JournalIEEE Intelligent Systems
Issue number5
StatePublished - Sep 2005


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