Literature DB >> 17238314

Categorical information in pharmaceutical terminologies.

John S Carter1, Steven H Brown, Brent A Bauer, Peter L Elkin, Mark S Erlbaum, David A Froehling, Michael J Lincoln, S Trent Rosenbloom, Dietlind L Wahner-Roedler, Mark S Tuttle.   

Abstract

Drug information sources use category labels to assist in navigating and organizing information. Some category labels describe drugs from multiple perspectives (e.g., both structure and function). The National Drug File - Reference Terminology (NDF RT) is a drug information source that augments a "legacy" categorization system with a formal reference model specifying Chemical Structure, Cellular or Sub-Cellular Mechanism of Action, Organ- or System-Level Physiological Effect, and Therapeutic Intent categories. We examined drug category names from three sources to better understand their information content and evaluate NDF RT's semantic coverage. On average, category names contain more than 1.5 attributes. NDF RT's reference model covers more than 76% of the information identified in drug category labels. A new NDF RT reference axis of drug formulations could improve NDF RT's coverage to 85%. The distinction between Physiological Effect and Therapeutic Intent, prompted many questions among category reviewers, suggesting that further clarification of these reference concepts is required. Careful review of existing categorization schemes may guide structured terminology and ontology development efforts toward greater fidelity to deployed information sources.

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Year:  2006        PMID: 17238314      PMCID: PMC1839555     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  7 in total

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Authors:  John S Carter; Steven H Brown; Mark S Erlbaum; William Gregg; Peter L Elkin; Ted Speroff; Mark S Tuttle
Journal:  Proc AMIA Symp       Date:  2002

4.  Integrating pharmacokinetics knowledge into a drug ontology: as an extension to support pharmacogenomics.

Authors:  C G Chute; J S Carter; M S Tuttle; M Haber; S H Brown
Journal:  AMIA Annu Symp Proc       Date:  2003

Review 5.  Desiderata for controlled medical vocabularies in the twenty-first century.

Authors:  J J Cimino
Journal:  Methods Inf Med       Date:  1998-11       Impact factor: 2.176

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Authors:  K A Spackman; K E Campbell; R A Côté
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

7.  VA National Drug File Reference Terminology: a cross-institutional content coverage study.

Authors:  Steven H Brown; Peter L Elkin; S Trent Rosenbloom; Casey Husser; Brent A Bauer; Michael J Lincoln; John Carter; Mark Erlbaum; Mark S Tuttle
Journal:  Stud Health Technol Inform       Date:  2004
  7 in total
  9 in total

1.  Analyzing categorical information in two publicly available drug terminologies: RxNorm and NDF-RT.

Authors:  Jyotishman Pathak; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

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Authors:  Ping Zhang; Fei Wang; Jianying Hu
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

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Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

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Authors:  Christopher Ochs; Ling Zheng; Huanying Gu; Yehoshua Perl; James Geller; Joan Kapusnik-Uner; Aleksandr Zakharchenko
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

5.  Quality assurance of chemical ingredient classification for the National Drug File - Reference Terminology.

Authors:  Ling Zheng; Hasan Yumak; Ling Chen; Christopher Ochs; James Geller; Joan Kapusnik-Uner; Yehoshua Perl
Journal:  J Biomed Inform       Date:  2017-07-16       Impact factor: 6.317

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Journal:  Pac Symp Biocomput       Date:  2018

7.  Ontology-based Vaccine and Drug Adverse Event Representation and Theory-guided Systematic Causal Network Analysis toward Integrative Pharmacovigilance Research.

Authors:  Yongqun He
Journal:  Curr Pharmacol Rep       Date:  2016-03-11

8.  Centralizing content and distributing labor: a community model for curating the very long tail of microbial genomes.

Authors:  Tim E Putman; Sebastian Burgstaller-Muehlbacher; Andra Waagmeester; Chunlei Wu; Andrew I Su; Benjamin M Good
Journal:  Database (Oxford)       Date:  2016-03-28       Impact factor: 3.451

9.  CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis.

Authors:  Yongqun He; Hong Yu; Edison Ong; Yang Wang; Yingtong Liu; Anthony Huffman; Hsin-Hui Huang; John Beverley; Junguk Hur; Xiaolin Yang; Luonan Chen; Gilbert S Omenn; Brian Athey; Barry Smith
Journal:  Sci Data       Date:  2020-06-12       Impact factor: 6.444

  9 in total

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