Formalizing knowledge and evidence about potential drug-drug interactions

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

Research output: Contribution to journalConference articlepeer-review

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.

Keywords

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

ASJC Scopus subject areas

  • General Computer Science

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