research-article

Formalizing MedDRA to support semantic reasoning on adverse drug reaction terms

Authors:

Cédric Bousquet,

Julien Souvignet,

Marie-Christine Jaulent,

Gunnar DeclerckAuthors Info & Claims

Journal of Biomedical Informatics, Volume 49, Issue C

Pages 282 - 291

https://doi.org/10.1016/j.jbi.2014.03.012

Published: 01 June 2014 Publication History

Abstract

Graphical abstractDisplay Omitted MedDRA's current format limits accurate and consistent term selection for coding.OntoADR, a formalized ("ontologized") version of MedDRA can improve MedDRA coding and support signal detection.OntoADR is an OWL representation of MedDRA using SNOMED-CT formal definitions.Formalizing MedDRA enables terminological reasoning on terms semantics.The process of formalization of MedDRA can be semi-automated. Although MedDRA has obvious advantages over previous terminologies for coding adverse drug reactions and discovering potential signals using data mining techniques, its terminological organization constrains users to search terms according to predefined categories. Adding formal definitions to MedDRA would allow retrieval of terms according to a case definition that may correspond to novel categories that are not currently available in the terminology. To achieve semantic reasoning with MedDRA, we have associated formal definitions to MedDRA terms in an OWL file named OntoADR that is the result of our first step for providing an "ontologized" version of MedDRA. MedDRA five-levels original hierarchy was converted into a subsumption tree and formal definitions of MedDRA terms were designed using several methods: mappings to SNOMED-CT, semi-automatic definition algorithms or a fully manual way. This article presents the main steps of OntoADR conception process, its structure and content, and discusses problems and limits raised by this attempt to "ontologize" MedDRA.

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Cited By

Souvignet JDeclerck GAsfari HJaulent MBousquet C(2016)OntoADR a semantic resource describing adverse drug reactions to support searching, coding, and information retrievalJournal of Biomedical Informatics10.1016/j.jbi.2016.06.01063:C(100-107)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.06.010

Index Terms

Formalizing MedDRA to support semantic reasoning on adverse drug reaction terms
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
  2. Operations research
    1. Forecasting

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Biomedical Informatics

Journal of Biomedical Informatics Volume 49, Issue C

June 2014

297 pages

ISSN:1532-0464

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Copyright © Elsevier Inc.

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Elsevier Science

San Diego, CA, United States

Publication History

Published: 01 June 2014

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Cited By

Souvignet JDeclerck GAsfari HJaulent MBousquet C(2016)OntoADR a semantic resource describing adverse drug reactions to support searching, coding, and information retrievalJournal of Biomedical Informatics10.1016/j.jbi.2016.06.01063:C(100-107)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.06.010

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