Literature DB >> 18998828

The MedDRA paradox.

Gary H Merrill1.   

Abstract

MedDRA (the Medical Dictionary for Regulatory Activities Terminology) is a controlled vocabulary widely used as a medical coding scheme. However, MedDRA's characterization of its structural hierarchy exhibits some confusing and paradoxical features. The goal of this paper is to examine these features, determine whether there is a coherent view of the MedDRA hierarchy that emerges, and explore what lessons are to be learned from this for using MedDRA and similar terminologies in a broad medical informatics context that includes relations among multiple disparate terminologies, thesauri, and ontologies.

Mesh:

Year:  2008        PMID: 18998828      PMCID: PMC2655972     

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


  1 in total

1.  Achieving "source transparency" in the UMLS Metathesaurus.

Authors:  William T Hole; Brian A Carlsen; Mark S Tuttle; Suresh Srinivasan; Stephanie S Lipow; Nels E Olson; David D Sherertz; Betsy L Humphreys
Journal:  Stud Health Technol Inform       Date:  2004
  1 in total
  11 in total

1.  Drug safety surveillance using de-identified EMR and claims data: issues and challenges.

Authors:  Prakash M Nadkarni
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

2.  Auditing the multiply-related concepts within the UMLS.

Authors:  Fleur Mougin; Natalia Grabar
Journal:  J Am Med Inform Assoc       Date:  2014-01-24       Impact factor: 4.497

3.  Towards an ontological theory of substance intolerance and hypersensitivity.

Authors:  William R Hogan
Journal:  J Biomed Inform       Date:  2010-02-10       Impact factor: 6.317

4.  A web-based medical safety reporting system for a large multicenter clinical trial: the ALIAS experience.

Authors:  Wenle Zhao; Bonnie D Waldman; Catherine Dillon; Keith Pauls; Jaemyung Kim; Lynn Patterson; Myron D Ginsberg; Michael D Hill; Yuko Palesch
Journal:  Contemp Clin Trials       Date:  2010-09-07       Impact factor: 2.226

5.  Concepts and synonymy in the UMLS Metathesaurus.

Authors:  Gary H Merrill
Journal:  J Biomed Discov Collab       Date:  2009-10-14

6.  Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.

Authors:  Prakash M Nadkarni; Jonathan D Darer
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-28       Impact factor: 2.796

7.  Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives.

Authors:  Aleksandar Kovacevic; Azad Dehghan; Michele Filannino; John A Keane; Goran Nenadic
Journal:  J Am Med Inform Assoc       Date:  2013-04-20       Impact factor: 4.497

8.  Improving information retrieval with multiple health terminologies in a quality-controlled gateway.

Authors:  Lina F Soualmia; Saoussen Sakji; Catherine Letord; Laetitia Rollin; Philippe Massari; Stéfan J Darmoni
Journal:  Health Inf Sci Syst       Date:  2013-02-04

9.  Extraction of potential adverse drug events from medical case reports.

Authors:  Harsha Gurulingappa; Abdul Mateen-Rajput; Luca Toldo
Journal:  J Biomed Semantics       Date:  2012-12-20

10.  Exploitation of semantic methods to cluster pharmacovigilance terms.

Authors:  Marie Dupuch; Laëtitia Dupuch; Thierry Hamon; Natalia Grabar
Journal:  J Biomed Semantics       Date:  2014-04-16
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