Literature DB >> 30815158

Overlapping Complex Concepts Have More Commission Errors, Especially in Intensive Terminology Auditing.

Ling Zheng1, Hao Liu2, Yehoshua Perl2, James Geller2, Christopher Ochs3, James T Case4.   

Abstract

SNOMED CT is a large, complex and widely-used terminology. Auditing is part of the life cycle of terminologies. A review of terminologies' content can identify two error categories: commission errors, such as an incorrect parent or attribute relationship, indicating errors in a concept's modeling, and omission errors, such as missing a parent or attribute relationship, representing incomplete modeling of a concept. According to our experience, terminology curators are mostly interested in commission errors. In recent years, a long-term remodeling project has addressed modeling issues in SNOMED CT's Infectious disease and Congenital disease subhierarchies. In this longitudinal study, we investigated a posteriori the efficacy of complex concepts, called overlapping concepts, to identify commission errors during intensive auditing periods and during maintenance periods over several releases. The algorithmic implication is that when auditing resources are scarce, a methodology of auditing first, or only, the overlapping concepts will obtain a higher auditing yield.

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Mesh:

Year:  2018        PMID: 30815158      PMCID: PMC6371375     

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


  25 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  SNOMED clinical terms: overview of the development process and project status.

Authors:  M Q Stearns; C Price; K A Spackman; A Y Wang
Journal:  Proc AMIA Symp       Date:  2001

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.  Auditing as part of the terminology design life cycle.

Authors:  Hua Min; Yehoshua Perl; Yan Chen; Michael Halper; James Geller; Yue Wang
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

5.  Special issue on auditing of terminologies.

Authors:  J Geller; Y Perl; M Halper; R Cornet
Journal:  J Biomed Inform       Date:  2009-06       Impact factor: 6.317

6.  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

7.  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

8.  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

9.  Large-scale, Exhaustive Lattice-based Structural Auditing of SNOMED CT.

Authors:  Guo-Qiang Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

10.  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

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