Literature DB >> 16779265

Creating a vaccine adverse event ontology for public health.

Tolentino D Herman1, Fang Liu, Deepak Sagaram, Kamadjeu Raoul, Paul Fontelo, Katrin Kohl, Daniel Payne.   

Abstract

Creation of an ontology for Adverse Events Following Immunization (AEFI) can help immunization stakeholders better understand adverse events. Moreover, it enables the sharing and reuse of machine-readable knowledge and enhances surveillance systems. Linkage of this knowledge base to controlled vocabularies establishes the foundation for integration of information from different applications. This work describes the framework for ontology creation, the collaborative work supporting it and the overall mission of informatics to bridge organizations and enable knowledge sharing.

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Year:  2005        PMID: 16779265      PMCID: PMC1560539     

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


  1 in total

1.  Vaccine adverse event text mining system for extracting features from vaccine safety reports.

Authors:  Taxiarchis Botsis; Thomas Buttolph; Michael D Nguyen; Scott Winiecki; Emily Jane Woo; Robert Ball
Journal:  J Am Med Inform Assoc       Date:  2012-08-25       Impact factor: 4.497

  1 in total

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