Linked vaccine adverse event data representation from VAERS for biomedical informatics research

Cui Tao, Puqiang Wu, Yuji Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Vaccines have been one of the most successful public health interventions to date. The use of vaccination, however, also comes with possible adverse events. The U.S. FDA/CDC Vaccine Adverse Event Reporting System (VAERS) currently contains more 200,000 reports for post-vaccination events that occur after the administration of vaccines licensed in the United States. Although the data from VAERS has been applied to many public health and vaccine safety studies, each individual report does not necessary indicate a casuality relationship between the vaccine and the reported symptoms. Further statistical analysis and summarization needs to be done before this data can be leveraged. In this paper, we introduces our preliminary work on summarzing the VAERS data and representing the vaccine-symptom correlations as well as the meta data of their relations using RDF. We then apply network analysis approaches to the RDF data to illustrate a use case of the data. We further discuss our vision on integrating the data with vaccine information from other sources using RDF linked approach to faciliate more comprehensive analyses.

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8643
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014
CountryTaiwan, Province of China
CityTainan
Period5/13/145/16/14

Fingerprint

Vaccines
Vaccine
Vaccination
Public Health
Public health
Summarization
Network Analysis
Electric network analysis
Use Case
Metadata
Statistical Analysis
Statistical methods
Safety
Necessary

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Tao, C., Wu, P., & Zhang, Y. (2014). Linked vaccine adverse event data representation from VAERS for biomedical informatics research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8643, pp. 652-661). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8643). Springer Verlag. https://doi.org/10.1007/978-3-319-13186-3_58

Linked vaccine adverse event data representation from VAERS for biomedical informatics research. / Tao, Cui; Wu, Puqiang; Zhang, Yuji.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8643 Springer Verlag, 2014. p. 652-661 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8643).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tao, C, Wu, P & Zhang, Y 2014, Linked vaccine adverse event data representation from VAERS for biomedical informatics research. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8643, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8643, Springer Verlag, pp. 652-661, International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, Tainan, Taiwan, Province of China, 5/13/14. https://doi.org/10.1007/978-3-319-13186-3_58
Tao C, Wu P, Zhang Y. Linked vaccine adverse event data representation from VAERS for biomedical informatics research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8643. Springer Verlag. 2014. p. 652-661. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-13186-3_58
Tao, Cui ; Wu, Puqiang ; Zhang, Yuji. / Linked vaccine adverse event data representation from VAERS for biomedical informatics research. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8643 Springer Verlag, 2014. pp. 652-661 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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