Literature DB >> 21346971

Dissimilarities in the Logical Modeling of Apparently Similar Concepts in SNOMED CT.

Ankur Agrawal1, Gai Elhanan, Michael Halper.   

Abstract

Concepts whose terms are of a similar word structure are expected to have similar logical representations. Anecdotal examples from SNOMED CT indicate that this may not always be the case. An investigation into the extent of inconsistent modeling in SNOMED CT hierarchies is carried out. A lexical methodology is used to identify sets of similar concepts. It is applied to one of the most attribute-rich hierarchies, Procedure, from which a random sample of 60 sets is derived. These sets are examined in regard to hierarchical, definitional, attribute, attribute/value, and role-group aspects. Thirty percent of the sample sets were found to have at least one type of modeling inconsistency. Their presence may interfere with the performance of terminology-driven applications. With the use of SNOMED expanding, such inconsistencies may eventually affect clinical care. Due to this, external auditing should be encouraged to identify such issues and complement IHTSDO's efforts.

Mesh:

Year:  2010        PMID: 21346971      PMCID: PMC3041443     

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


  8 in total

1.  Role grouping as an extension to the description logic of Ontylog, motivated by concept modeling in SNOMED.

Authors:  Kent A Spackman; Robert Dionne; Eric Mays; Jason Weis
Journal:  Proc AMIA Symp       Date:  2002

2.  Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT.

Authors:  Duo Wei; Olivier Bodenreider
Journal:  Stud Health Technol Inform       Date:  2010

3.  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

4.  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

5.  The semantics of procedures and diseases in SNOMED CT.

Authors:  S Schulz; S Hanser; U Hahn; J Rogers
Journal:  Methods Inf Med       Date:  2006       Impact factor: 2.176

6.  Controlled vocabulary and design of laboratory results displays.

Authors:  G Elhanan; J J Cimino
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

7.  Supporting infobuttons with terminological knowledge.

Authors:  J J Cimino; G Elhanan; Q Zeng
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

8.  Detecting Underspecification in SNOMED CT concept definitions through natural language processing.

Authors:  Edson Pacheco; Holger Stenzhorn; Percy Nohama; Jan Paetzold; Stefan Schulz
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14
  8 in total
  5 in total

1.  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

2.  Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies.

Authors:  Christopher Ochs; James Geller; Yehoshua Perl; Yan Chen; Junchuan Xu; Hua Min; James T Case; Zhi Wei
Journal:  J Am Med Inform Assoc       Date:  2014-10-21       Impact factor: 4.497

3.  Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

Authors:  Ankur Agrawal; Yehoshua Perl; Yan Chen; Gai Elhanan; Mei Liu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

Review 4.  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

5.  Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT.

Authors:  Ankur Agrawal
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-12       Impact factor: 2.796

  5 in total

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