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Article: Expanding the Extent of a UMLS Semantic Type via Group Neighborhood Auditing

TitleExpanding the Extent of a UMLS Semantic Type via Group Neighborhood Auditing
Authors
KeywordsReferences (30) View In Table Layout
Issue Date2009
PublisherHanley & Belfus, Inc. The Journal's web site is located at http://www.elsevier.com/locate/jamia
Citation
Journal of the American Medical Informatics Association, 2009, v. 16 n. 5, p. 746-757 How to Cite?
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. © 2009 J Am Med Inform Assoc.
Persistent Identifierhttp://hdl.handle.net/10722/92197
ISSN
2015 Impact Factor: 3.428
2015 SCImago Journal Rankings: 2.315
PubMed Central ID
ISI Accession Number ID
Funding AgencyGrant Number
NLMR-01-LM008445-01A2
Funding Information:

This work was partially Supported by the NLM under grant R-01-LM008445-01A2.

References

 

DC FieldValueLanguage
dc.contributor.authorChen, Yen_HK
dc.contributor.authorGu, Hen_HK
dc.contributor.authorPerl, Yen_HK
dc.contributor.authorHalper, Men_HK
dc.contributor.authorXu, Jen_HK
dc.date.accessioned2010-09-17T10:38:56Z-
dc.date.available2010-09-17T10:38:56Z-
dc.date.issued2009en_HK
dc.identifier.citationJournal of the American Medical Informatics Association, 2009, v. 16 n. 5, p. 746-757en_HK
dc.identifier.issn1067-5027en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92197-
dc.description.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. © 2009 J Am Med Inform Assoc.en_HK
dc.languageengen_HK
dc.publisherHanley & Belfus, Inc. The Journal's web site is located at http://www.elsevier.com/locate/jamiaen_HK
dc.relation.ispartofJournal of the American Medical Informatics Associationen_HK
dc.subjectReferences (30) View In Table Layouten_HK
dc.titleExpanding the Extent of a UMLS Semantic Type via Group Neighborhood Auditingen_HK
dc.typeArticleen_HK
dc.identifier.emailChen, Y:ychenc@hkucc.hku.hken_HK
dc.identifier.authorityChen, Y=rp1318en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1197/jamia.M2951en_HK
dc.identifier.pmid19567802-
dc.identifier.pmcidPMC2744725-
dc.identifier.scopuseid_2-s2.0-69549090022en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-69549090022&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume16en_HK
dc.identifier.issue5en_HK
dc.identifier.spage746en_HK
dc.identifier.epage757en_HK
dc.identifier.isiWOS:000269755500016-

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