Literature DB >> 26260003

Structural measures to track the evolution of SNOMED CT hierarchies.

Duo Wei1, Huanying Helen Gu2, Yehoshua Perl3, Michael Halper4, Christopher Ochs3, Gai Elhanan5, Yan Chen6.   

Abstract

The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is an extensive reference terminology with an attendant amount of complexity. It has been updated continuously and revisions have been released semi-annually to meet users' needs and to reflect the results of quality assurance (QA) activities. Two measures based on structural features are proposed to track the effects of both natural terminology growth and QA activities based on aspects of the complexity of SNOMED CT. These two measures, called the structural density measure and accumulated structural measure, are derived based on two abstraction networks, the area taxonomy and the partial-area taxonomy. The measures derive from attribute relationship distributions and various concept groupings that are associated with the abstraction networks. They are used to track the trends in the complexity of structures as SNOMED CT changes over time. The measures were calculated for consecutive releases of five SNOMED CT hierarchies, including the Specimen hierarchy. The structural density measure shows that natural growth tends to move a hierarchy's structure toward a more complex state, whereas the accumulated structural measure shows that QA processes tend to move a hierarchy's structure toward a less complex state. It is also observed that both the structural density and accumulated structural measures are useful tools to track the evolution of an entire SNOMED CT hierarchy and reveal internal concept migration within it.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Abstraction network; Complexity measure; Quality assurance; SNOMED CT; Terminology

Mesh:

Year:  2015        PMID: 26260003      PMCID: PMC4744812          DOI: 10.1016/j.jbi.2015.08.001

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  14 in total

1.  Normal forms for description logic expressions of clinical concepts in SNOMED RT.

Authors:  K A Spackman
Journal:  Proc AMIA Symp       Date:  2001

2.  Auditing SNOMED relationships using a converse abstraction network.

Authors:  Duo Wei; Michael Halper; Gai Elhanan; Yan Chen; Yehoshua Perl; James Geller; Kent A Spackman
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Structural methodologies for auditing SNOMED.

Authors:  Yue Wang; Michael Halper; Hua Min; Yehoshua Perl; Yan Chen; Kent A Spackman
Journal:  J Biomed Inform       Date:  2006-12-24       Impact factor: 6.317

4.  Analysis of error concentrations in SNOMED.

Authors:  Michael Halper; Yue Wang; Hua Min; Yan Chen; George Hripcsak; Yehoshua Perl; Kent A Spackman
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  J Am Med Inform Assoc       Date:  2011-08-11       Impact factor: 4.497

6.  A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen; Ankur Agrawal; James T Case; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2014-10-20       Impact factor: 4.497

7.  Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies.

Authors:  Christopher Ochs; Yehoshua Perl; James Geller; Michael Halper; Huanying Gu; Yan Chen; Gai Elhanan
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

Review 8.  Abstraction networks for terminologies: Supporting management of "big knowledge".

Authors:  Michael Halper; Huanying Gu; Yehoshua Perl; Christopher Ochs
Journal:  Artif Intell Med       Date:  2015-04-02       Impact factor: 5.326

9.  Abstraction of complex concepts with a refined partial-area taxonomy of SNOMED.

Authors:  Yue Wang; Michael Halper; Duo Wei; Yehoshua Perl; James Geller
Journal:  J Biomed Inform       Date:  2011-08-25       Impact factor: 6.317

Review 10.  Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.

Authors:  Yue Wang; Michael Halper; Duo Wei; Huanying Gu; Yehoshua Perl; Junchuan Xu; Gai Elhanan; Yan Chen; Kent A Spackman; James T Case; George Hripcsak
Journal:  J Biomed Inform       Date:  2011-09-01       Impact factor: 6.317

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  2 in total

1.  Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.

Authors:  Christopher Ochs; James T Case; Yehoshua Perl
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Mark A Musen
Journal:  J Biomed Inform       Date:  2016-06-23       Impact factor: 6.317

  2 in total

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