Literature DB >> 20351848

Comparing inconsistent relationship configurations indicating UMLS errors.

James Geller1, C Paul Morrey, Junchuan Xu, Michael Halper, Gai Elhanan, Yehoshua Perl, George Hripcsak.   

Abstract

The goal of this paper is to audit null-annotated parent-child pairs in the UMLS Metathesaurus. We have developed techniques for identifying suspicious pairs with high likelihood of errors by using inconsistencies between the hierarchical relationships of the Metathesaurus and the Semantic Network. Two formal conditions, called semantic inversion and lack of ancestry are investigated. Analyzing two corresponding samples shows that semantic inversion is significantly more likely to indicate an error than lack of ancestry, which in turn is more likely to indicate errors than a consistent configuration. We also discuss cases of parent-child pairs with semantic inversion that may be corrected by disambiguating the child.

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Year:  2009        PMID: 20351848      PMCID: PMC2815406     

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


  6 in total

1.  Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention.

Authors:  O Bodenreider
Journal:  Proc AMIA Symp       Date:  2001

2.  Consistency across the hierarchies of the UMLS Semantic Network and Metathesaurus.

Authors:  J J Cimino; H Min; Y Perl
Journal:  J Biomed Inform       Date:  2003-12       Impact factor: 6.317

3.  Structural group auditing of a UMLS semantic type's extent.

Authors:  Yan Chen; Huanying Helen Gu; Yehoshua Perl; James Geller; Michael Halper
Journal:  J Biomed Inform       Date:  2008-06-17       Impact factor: 6.317

4.  The Unified Medical Language System: an informatics research collaboration.

Authors:  B L Humphreys; D A Lindberg; H M Schoolman; G O Barnett
Journal:  J Am Med Inform Assoc       Date:  1998 Jan-Feb       Impact factor: 4.497

5.  The representation of meaning in the UMLS.

Authors:  A T McCray; S J Nelson
Journal:  Methods Inf Med       Date:  1995-03       Impact factor: 2.176

6.  An upper-level ontology for the biomedical domain.

Authors:  Alexa T McCray
Journal:  Comp Funct Genomics       Date:  2003
  6 in total
  7 in total

1.  Auditing hierarchical cycles to locate other inconsistencies in the UMLS.

Authors:  Michael Halper; C Paul Morrey; Yan Chen; Gai Elhanan; George Hripcsak; Yehoshua Perl
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Auditing SNOMED Integration into the UMLS for Duplicate Concepts.

Authors:  Kuo-Chuan Huang; James Geller; Gai Elhanan; Yehoshua Perl; Michael Halper
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

3.  A study of terminology auditors' performance for UMLS semantic type assignments.

Authors:  Huanying Helen Gu; Gai Elhanan; Yehoshua Perl; George Hripcsak; James J Cimino; Julia Xu; Yan Chen; James Geller; C Paul Morrey
Journal:  J Biomed Inform       Date:  2012-06-09       Impact factor: 6.317

4.  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

5.  Auditing the Assignments of Top-Level Semantic Types in the UMLS Semantic Network to UMLS Concepts.

Authors:  Zhe He; Yehoshua Perl; Gai Elhanan; Yan Chen; James Geller; Jiang Bian
Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)       Date:  2017-12-18

6.  Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.

Authors:  Hua Min; Hedyeh Mobahi; Katherine Irvin; Sanja Avramovic; Janusz Wojtusiak
Journal:  J Biomed Semantics       Date:  2017-09-16

Review 7.  A review of auditing techniques for the Unified Medical Language System.

Authors:  Ling Zheng; Zhe He; Duo Wei; Vipina Keloth; Jung-Wei Fan; Luke Lindemann; Xinxin Zhu; James J Cimino; Yehoshua Perl
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

  7 in total

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