Workshop paper presentation for BDM2I at ISWC 2015.
Paper at http://ceur-ws.org/Vol-1428/BDM2I_2015_paper_10.pdf
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 associated evidence in a computable form. The research we present in this paper addresses this problem by creating a new version of the Drug Interaction Knowledge Base, with scalable, interlinkable repositories for PDDI evidence and PDDI knowledge claims.
Jodi Schneider, Mathias Brochhausen, Samuel Rosko, Paolo Ciccarese, William R. Hogan, Daniel Malone, Yifan Ning, Tim Clark and Richard D. Boyce. “Formalizing knowledge and evidence about potential drug-drug interactions.” International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I 2015) at ISWC 2015 Bethlehem, Pennsylvania, USA, October 11