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

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 journal › Conference article › peer-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.

Original language	English (US)
Journal	CEUR Workshop Proceedings
Volume	1428
State	Published - 2015
Externally published	Yes
Event	International 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 → …

Keywords

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

ASJC Scopus subject areas

General Computer Science

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title = "Formalizing knowledge and evidence about potential drug-drug interactions",

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",

author = "Jodi Schneider and Mathias Brochhausen and Samuel Rosko and Paolo Ciccarese and Hogan, {William R.} and Daniel Malone and Yifan Ning and Tim Clark and Boyce, {Richard D.}",

note = "Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; International 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 ; Conference date: 11-10-2015",

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language = "English (US)",

volume = "1428",

journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - Formalizing knowledge and evidence about potential drug-drug interactions

AU - Schneider, Jodi

AU - Brochhausen, Mathias

AU - Rosko, Samuel

AU - Ciccarese, Paolo

AU - Hogan, William R.

AU - Malone, Daniel

AU - Ning, Yifan

AU - Clark, Tim

AU - Boyce, Richard D.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Drug-drug interactions

KW - Evidence bases

KW - Knowledge bases

KW - Linked data

KW - Mi-cropublications

KW - Nanopublications

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UR - http://www.scopus.com/inward/citedby.url?scp=84948698277&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84948698277

SN - 1613-0073

VL - 1428

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - International 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

Y2 - 11 October 2015

ER -

Formalizing knowledge and evidence about potential drug-drug interactions

Abstract

Keywords

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