Literature DB >> 33139970

Towards a foundational representation of potential drug-drug interaction knowledge.

Mathias Brochhausen1, Jodi Schneider2, Daniel Malone3, Philip E Empey4, William R Hogan5, Richard D Boyce6.   

Abstract

Inadequate representation of evidence and knowledge about potential drug-drug interactions is a major factor underlying disagreements among sources of drug information that are used by clinicians. In this paper we describe the initial steps toward developing a foundational domain representation that allows tracing the evidence underlying potential drug-drug interaction knowledge. The new representation includes biological and biomedical entities represented in existing ontologies and terminologies to foster integration of data from relevant fields such as physiology, anatomy, and laboratory sciences.

Entities:  

Keywords:  Potential drug-drug interactions; knowledge management; ontologies

Year:  2014        PMID: 33139970      PMCID: PMC7603806     

Source DB:  PubMed          Journal:  CEUR Workshop Proc        ISSN: 1613-0073


  26 in total

1.  ORCA: OpeRational ClassificAtion of drug interactions.

Authors:  P D Hansten; J R Horn; T K Hazlet
Journal:  J Am Pharm Assoc (Wash)       Date:  2001 Mar-Apr

2.  Ability of pharmacy clinical decision-support software to alert users about clinically important drug-drug interactions.

Authors:  Kim R Saverno; Lisa E Hines; Terri L Warholak; Amy J Grizzle; Lauren Babits; Courtney Clark; Ann M Taylor; Daniel C Malone
Journal:  J Am Med Inform Assoc       Date:  2010-12-03       Impact factor: 4.497

3.  Biodynamic ontology: applying BFO in the biomedical domain.

Authors:  Pierre Grenon; Barry Smith; Louis Goldberg
Journal:  Stud Health Technol Inform       Date:  2004

4.  Clinical relevance of drug-drug interactions : a structured assessment procedure.

Authors:  Eric N van Roon; Sander Flikweert; Marianne le Comte; Pim N J Langendijk; Wilma J M Kwee-Zuiderwijk; Paul Smits; Jacobus R B J Brouwers
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

5.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration.

Authors:  Barry Smith; Michael Ashburner; Cornelius Rosse; Jonathan Bard; William Bug; Werner Ceusters; Louis J Goldberg; Karen Eilbeck; Amelia Ireland; Christopher J Mungall; Neocles Leontis; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Nigam Shah; Patricia L Whetzel; Suzanna Lewis
Journal:  Nat Biotechnol       Date:  2007-11       Impact factor: 54.908

6.  SFINX-a drug-drug interaction database designed for clinical decision support systems.

Authors:  Ylva Böttiger; Kari Laine; Marine L Andersson; Tuomas Korhonen; Björn Molin; Marie-Louise Ovesjö; Tuire Tirkkonen; Anders Rane; Lars L Gustafsson; Birgit Eiermann
Journal:  Eur J Clin Pharmacol       Date:  2009-02-11       Impact factor: 2.953

7.  Towards a Consistent and Scientifically Accurate Drug Ontology.

Authors:  William R Hogan; Josh Hanna; Eric Joseph; Mathias Brochhausen
Journal:  CEUR Workshop Proc       Date:  2013

8.  Computing with evidence Part II: An evidential approach to predicting metabolic drug-drug interactions.

Authors:  Richard Boyce; Carol Collins; John Horn; Ira Kalet
Journal:  J Biomed Inform       Date:  2009-06-16       Impact factor: 6.317

9.  DrugBank 4.0: shedding new light on drug metabolism.

Authors:  Vivian Law; Craig Knox; Yannick Djoumbou; Tim Jewison; An Chi Guo; Yifeng Liu; Adam Maciejewski; David Arndt; Michael Wilson; Vanessa Neveu; Alexandra Tang; Geraldine Gabriel; Carol Ly; Sakina Adamjee; Zerihun T Dame; Beomsoo Han; You Zhou; David S Wishart
Journal:  Nucleic Acids Res       Date:  2013-11-06       Impact factor: 16.971

10.  Building a drug ontology based on RxNorm and other sources.

Authors:  Josh Hanna; Eric Joseph; Mathias Brochhausen; William R Hogan
Journal:  J Biomed Semantics       Date:  2013-12-18
View more
  2 in total

1.  Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation.

Authors:  Linh Hoang; Richard D Boyce; Nigel Bosch; Britney Stottlemyer; Mathias Brochhausen; Jodi Schneider
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Adding evidence type representation to DIDEO.

Authors:  Mathias Brochhausen; Philip E Empey; Jodi Schneider; William R Hogan; Richard D Boyce
Journal:  CEUR Workshop Proc       Date:  2016-08
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.