Formalizing knowledge and evidence about potential drug-drug interactions

Jodi Schneider, Mathias Brochhausen, Samuel Rosko, Paolo Ciccarese, William R. Hogan, Daniel C Malone, Yifan Ning, Tim Clark, Richard D. Boyce

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

Abstract

Potential drug-drug interactions (PDDI) are a significant source of preventable drug-related harm. One contributing factor is that there is no standard way to represent PDDI knowledge claims and asso-ciated evidence in a computable form. The research we present in this paper addresses this problem by creating a new version of the Drug In-teraction Knowledge Base, with scalable, interlinkable repositories for PDDI evidence and PDDI knowledge claims.

Original languageEnglish (US)
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Volume1428
StatePublished - 2015
EventInternational Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs, BDM2I 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States
Duration: Oct 11 2015 → …

Other

OtherInternational Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs, BDM2I 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015
CountryUnited States
CityBethlehem
Period10/11/15 → …

Keywords

  • Drug-drug interactions
  • Evidence bases
  • Knowledge bases
  • Linked data
  • Mi-cropublications
  • Nanopublications

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Schneider, J., Brochhausen, M., Rosko, S., Ciccarese, P., Hogan, W. R., Malone, D. C., Ning, Y., Clark, T., & Boyce, R. D. (2015). Formalizing knowledge and evidence about potential drug-drug interactions. In CEUR Workshop Proceedings (Vol. 1428). CEUR-WS.