Literature DB >> 27867326

Towards a Consistent and Scientifically Accurate Drug Ontology.

William R Hogan1, Josh Hanna1, Eric Joseph1, Mathias Brochhausen1.   

Abstract

Our use case for comparative effectiveness research requires an ontology of drugs that enables querying National Drug Codes (NDCs) by active ingredient, mechanism of action, physiological effect, and therapeutic class of the drug products they represent. We conducted an ontological analysis of drugs from the realist perspective, and evaluated existing drug terminology, ontology, and database artifacts from (1) the technical perspective, (2) the perspective of pharmacology and medical science (3) the perspective of description logic semantics (if they were available in Web Ontology Language or OWL), and (4) the perspective of our realism-based analysis of the domain. No existing resource was sufficient. Therefore, we built the Drug Ontology (DrOn) in OWL, which we populated with NDCs and other classes from RxNorm using only content created by the National Library of Medicine. We also built an application that uses DrOn to query for NDCs as outlined above, available at: http://ingarden.uams.edu/ingredients. The application uses an OWL-based description logic reasoner to execute end-user queries. DrOn is available at http://code.google.com/p/dr-on.

Entities:  

Year:  2013        PMID: 27867326      PMCID: PMC5111807     

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


  18 in total

1.  A concept-based medication vocabulary: an essential requirement for pharmacy decision support.

Authors:  C Broverman; J Kapusnik-Uner; J Shalaby; D Sperzel
Journal:  Pharm Pract Manag Q       Date:  1998-04

2.  Ontological realism: A methodology for coordinated evolution of scientific ontologies.

Authors:  Barry Smith; Werner Ceusters
Journal:  Appl Ontol       Date:  2010-11-15       Impact factor: 1.115

3.  Implementation of RxNorm as a terminology mediation standard for exchanging pharmacy medication between federal agencies.

Authors:  Fola Parrish; Nhan Do; Omar Bouhaddou; Pradnya Warnekar
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  The need for a concept-based medication vocabulary as an enabling infrastructure in health informatics.

Authors:  W D Sperzel; C A Broverman; J E Kapusnik-Uner; J M Schlesinger
Journal:  Proc AMIA Symp       Date:  1998

5.  Enabling Hierarchical View of RxNorm with NDF-RT Drug Classes.

Authors:  Matvey B Palchuk; Michael Klumpenaar; Tarang Jatkar; Ralph J Zottola; William G Adams; Aaron H Abend
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Putting biomedical ontologies to work.

Authors:  B Smith; M Brochhausen
Journal:  Methods Inf Med       Date:  2010-02-05       Impact factor: 2.176

7.  Further revamping VA's NDF-RT drug terminology for clinical research.

Authors:  Jyotishman Pathak; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2011-03-17       Impact factor: 4.497

8.  Acute and chronic acetaminophen use and renal disease: a case-control study using pharmacy and medical claims.

Authors:  Mugdha Kelkar; Mario A Cleves; Howell R Foster; William R Hogan; Laura P James; Bradley C Martin
Journal:  J Manag Care Pharm       Date:  2012-04

9.  Unintended consequences of existential quantifications in biomedical ontologies.

Authors:  Martin Boeker; Ilinca Tudose; Janna Hastings; Daniel Schober; Stefan Schulz
Journal:  BMC Bioinformatics       Date:  2011-11-24       Impact factor: 3.169

10.  GalenOWL: Ontology-based drug recommendations discovery.

Authors:  Charalampos Doulaverakis; George Nikolaidis; Athanasios Kleontas; Ioannis Kompatsiaris
Journal:  J Biomed Semantics       Date:  2012-12-20
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  6 in total

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

Authors:  Mathias Brochhausen; Jodi Schneider; Daniel Malone; Philip E Empey; William R Hogan; Richard D Boyce
Journal:  CEUR Workshop Proc       Date:  2014-10

2.  Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.

Authors:  Mathias Brochhausen; Justin M Whorton; Cilia E Zayas; Monica P Kimbrell; Sarah J Bost; Nitya Singh; Christoph Brochhausen; Kevin W Sexton; Bernd Blobel
Journal:  J Pers Med       Date:  2022-05-07

3.  Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request.

Authors:  William R Hogan; Josh Hanna; Amanda Hicks; Samira Amirova; Baxter Bramblett; Matthew Diller; Rodel Enderez; Timothy Modzelewski; Mirela Vasconcelos; Chris Delcher
Journal:  J Biomed Semantics       Date:  2017-03-03

4.  DDIEM: drug database for inborn errors of metabolism.

Authors:  Marwa Abdelhakim; Eunice McMurray; Ali Raza Syed; Senay Kafkas; Allan Anthony Kamau; Paul N Schofield; Robert Hoehndorf
Journal:  Orphanet J Rare Dis       Date:  2020-06-11       Impact factor: 4.123

5.  Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers.

Authors:  Jonathan P Bona; Mathias Brochhausen; William R Hogan
Journal:  BMC Bioinformatics       Date:  2019-12-23       Impact factor: 3.169

6.  A 2018 workshop: vaccine and drug ontology studies (VDOS 2018).

Authors:  Junguk Hur; Cui Tao; Yongqun He
Journal:  BMC Bioinformatics       Date:  2019-12-23       Impact factor: 3.169

  6 in total

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