Access the full text.
Sign up today, get DeepDyve free for 14 days.
Huanying Gu, G. Hripcsak, Yan Chen, C. Morrey, Gai Elhanan, J. Cimino, J. Geller, Y. Perl (2007)
Evaluation of a UMLS Auditing Process of Semantic Type AssignmentsAMIA ... Annual Symposium proceedings. AMIA Symposium
Li Zhang, Y. Perl, M. Halper, J. Geller, J. Cimino (2004)
Model Formulation: An Enriched Unified Medical Language System Semantic Network with a Multiple Subsumption HierarchyJ. Am. Medical Informatics Assoc., 11
Huanying Gu, Y. Perl, Gai Elhanan, Hua Min, Li Zhang, Yi Peng (2004)
Auditing concept categorizations in the UMLSArtificial intelligence in medicine, 31 1
O. Bodenreider (2001)
An Object-oriented Model for Representing Semantic Locality in the UMLSStudies in health technology and informatics, 84 Pt 1
A. McCray (2003)
An Upper-Level Ontology for the Biomedical DomainComparative and Functional Genomics, 4
Yan Chen, Huanying Gu, Y. Perl, J. Geller, M. Halper (2009)
Structural group auditing of a UMLS semantic type's extentJournal of biomedical informatics, 42 1
Yan Chen, Y. Perl, J. Geller, J. Cimino (2007)
Analysis of a Study of the Users, Uses, and Future Agenda of the UMLSJournal of the American Medical Informatics Association : JAMIA, 14 2
Li Zhang, M. Halper, Y. Perl, J. Geller, J. Cimino (2005)
Model Formulation: Relationship Structures and Semantic Type Assignments of the UMLS Enriched Semantic NetworkJ. Am. Medical Informatics Assoc., 12
B. Humphreys, D. Lindberg, H. Schoolman, G. Barnett (1998)
Technical Milestone: The Unified Medical Language System: An Informatics Research CollaborationJournal of the American Medical Informatics Association : JAMIA, 5 1
Yi Peng, M. Halper, Y. Perl, J. Geller (2002)
Auditing the UMLS for redundant classificationsProceedings. AMIA Symposium
S. Schulze-Kremer, Barry Smith, Anand Kumar (2004)
Revising the UMLS Semantic Network
Yan Chen, Huanying Gu, Y. Perl, J. Geller (2009)
Structural group-based auditing of missing hierarchical relationships in UMLSJournal of biomedical informatics, 42 3
M. Tuttle, D. Sherertz, N. Olson, M. Erlbaum, D. Sperzel, L. Fuller, S. Nelson (1990)
Concepts, Issues, and Standards. Current Status of the NLM's Umls Project: Using Meta-1-The 1st Version of the UMLS Metathesaurus
O. Bodenreider (2001)
Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and preventionProceedings. AMIA Symposium
A. McCray, W. Hole (1990)
Concepts, Issues, and Standards. Current Status of the NLM's Umls Project: The Scope and Structure of the First Version of the UMLS Seoantic Network
Hua Min, Y. Perl, Yan Chen, M. Halper, J. Geller, Yue Wang (2006)
Research Paper: Auditing as Part of the Terminology Design Life CycleJournal of the American Medical Informatics Association : JAMIA, 13 6
W. Hole, S. Srinivasan (2000)
Discovering missed synonymy in a large concept-oriented MetathesaurusProceedings. AMIA Symposium
O. Bodenreider (2004)
The Unified Medical Language System (UMLS): integrating biomedical terminologyNucleic acids research, 32 Database issue
(2005)
Discrete Mathematics. Pearson, 6 th edn
P. Schuyler, W. Hole, M. Tuttle, D. Sherertz (1993)
The UMLS Metathesaurus: representing different views of biomedical concepts.Bulletin of the Medical Library Association, 81 2
Huanying Gu, Y. Perl, J. Geller, M. Halper, Li-min Liu, J. Cimino (2000)
Representing the UMLS as an OODB: Modeling Issues and Advantages
J. Geller, Huanying Gu, Y. Perl, M. Halper (2003)
Semantic refinement and error correction in large terminological knowledge basesData Knowl. Eng., 45
K. Campbell, D. Oliver, E. Shortliffe (1998)
Viewpoint: The Unified Medical Language System: Toward a Collaborative Approach for Solving Terminologic ProblemsJournal of the American Medical Informatics Association : JAMIA, 5 1
J. Cimino (1998)
Research Paper: Auditing the Unified Medical Language System with Semantic MethodsJournal of the American Medical Informatics Association : JAMIA, 5 1
Huanying Gu, Y. Perl, J. Geller, M. Halper, Li-min Liu, J. Cimino (2000)
Research Paper: Representing the UMLS as an Object-oriented Database: Modeling Issues and AdvantagesJournal of the American Medical Informatics Association : JAMIA, 7 1
C. Morrey, J. Geller, M. Halper, Y. Perl (2009)
The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLSJournal of biomedical informatics, 42 3
O. Bodenreider (2003)
Strength in Numbers: Exploring Redundancy in Hierarchical Relations across Biomedical TerminologiesAMIA ... Annual Symposium proceedings. AMIA Symposium
J. Cimino (2001)
Battling Scylla and Charybdis: the search for redundancy and ambiguity in the 2001 UMLS metathesaurusProceedings. AMIA Symposium
Fleur Mougin, O. Bodenreider (2005)
Approaches to Eliminating Cycles in the UMLS Metathesaurus: Naïve vs. FormalAMIA ... Annual Symposium proceedings. AMIA Symposium
N. Sioutos, Sherri Coronado, Margaret Haber, F. Hartel, W. Shaiu, L. Wright (2007)
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular informationJournal of biomedical informatics, 40 1
D. Lindberg, B. Humphreys, A. McCray (1993)
The Unified Medical Language SystemYearbook of Medical Informatics, 02
AbstractObjective: Each Unified Medical Language System (UMLS) concept is assigned one or more semantic types (ST). A dynamic methodology for aiding an auditor in finding concepts that are missing the assignment of a given ST, S is presented.Design: The first part of the methodology exploits the previously introduced Refined Semantic Network and accompanying refined semantic types (RST) to help narrow the search space for offending concepts. The auditing is focused in a neighborhood surrounding the extent of an RST, T (of S) called an envelope, consisting of parents and children of concepts in the extent. The audit moves outward as long as missing assignments are discovered. In the second part, concepts not reached previously are processed and reassigned T as needed during the processing of S's other RSTs. The set of such concepts is expanded in a similar way to that in the first part.Measurements: The number of errors discovered is reported. To measure the methodology's efficiency, “error hit rates” (i.e., errors found in concepts examined) are computed.Results: The methodology was applied to three STs: Experimental Model of Disease (EMD), Environmental Effect of Humans, and Governmental or Regulatory Activity. The EMD experienced the most drastic change. For its RST “EMD ∩ Neoplastic Process” (RST “EMD”) with only 33 (31) original concepts, 915 (134) concepts were found by the first (second) part to be missing the EMD assignment. Changes to the other two STs were smaller.Conclusion: The results show that the proposed auditing methodology can help to effectively and efficiently identify concepts lacking the assignment of a particular semantic type.
Journal of the American Medical Informatics Association – Oxford University Press
Published: Sep 1, 2009
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.