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Article: Structural group auditing of a UMLS semantic type's extent

TitleStructural group auditing of a UMLS semantic type's extent
Authors
KeywordsReferences (53) View In Table Layout
Issue Date2009
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjbin
Citation
Journal of Biomedical Informatics, 2009, v. 42 n. 1, p. 41-52 How to Cite?
AbstractEach UMLS concept is assigned one or more of the semantic types (STs) from the Semantic Network. Due to the size and complexity of the UMLS, errors are unavoidable. We present two auditing methodologies for groups of semantically similar concepts. The straightforward procedure starts with the extent of an ST, which is the group of all concepts assigned this ST. We divide the extent into groups of concepts that have been assigned exactly the same set of STs. An algorithm finds subgroups of suspicious concepts. The human auditor is presented with these subgroups, which purportedly exhibit the same semantics, and thus she will notice different concepts with wrong or missing ST assignments. The dynamic procedure detects concepts which become suspicious in the course of the auditing process. Both procedures are applied to two semantic types. The results are compared with a comprehensive manual audit and show a very high error recall with a much higher precision. © 2008 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/92218
ISSN
2015 Impact Factor: 2.447
2015 SCImago Journal Rankings: 1.283
ISI Accession Number ID
Funding AgencyGrant Number
United States National Library of MedicineR 01 LM008445-01A2
Funding Information:

This work was partially supported by the United States National Library of Medicine under Grant R 01 LM008445-OIA2. We thank JJ. Cimino for his feedback on an earlier draft.

References

 

DC FieldValueLanguage
dc.contributor.authorChen, Yen_HK
dc.contributor.authorGu, H(H)en_HK
dc.contributor.authorPerl, Yen_HK
dc.contributor.authorGeller, Jen_HK
dc.contributor.authorHalper, Men_HK
dc.date.accessioned2010-09-17T10:39:33Z-
dc.date.available2010-09-17T10:39:33Z-
dc.date.issued2009en_HK
dc.identifier.citationJournal of Biomedical Informatics, 2009, v. 42 n. 1, p. 41-52en_HK
dc.identifier.issn1532-0464en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92218-
dc.description.abstractEach UMLS concept is assigned one or more of the semantic types (STs) from the Semantic Network. Due to the size and complexity of the UMLS, errors are unavoidable. We present two auditing methodologies for groups of semantically similar concepts. The straightforward procedure starts with the extent of an ST, which is the group of all concepts assigned this ST. We divide the extent into groups of concepts that have been assigned exactly the same set of STs. An algorithm finds subgroups of suspicious concepts. The human auditor is presented with these subgroups, which purportedly exhibit the same semantics, and thus she will notice different concepts with wrong or missing ST assignments. The dynamic procedure detects concepts which become suspicious in the course of the auditing process. Both procedures are applied to two semantic types. The results are compared with a comprehensive manual audit and show a very high error recall with a much higher precision. © 2008 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjbinen_HK
dc.relation.ispartofJournal of Biomedical Informaticsen_HK
dc.subjectReferences (53) View In Table Layouten_HK
dc.titleStructural group auditing of a UMLS semantic type's extenten_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.doi10.1016/j.jbi.2008.06.001en_HK
dc.identifier.pmid18619563-
dc.identifier.scopuseid_2-s2.0-60049095053en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-60049095053&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume42en_HK
dc.identifier.issue1en_HK
dc.identifier.spage41en_HK
dc.identifier.epage52en_HK
dc.identifier.isiWOS:000263882700005-

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