Linked Life Data

16779023

Source:http://linkedlifedata.com/resource/pubmed/id/16779023

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-6-16
pubmed:abstractText
Medical terminological systems (TSs) play an increasingly important role in health care by supporting recording, retrieval and analysis of patient information. As the size and complexity of TSs are growing, the need arises for means to audit them, i.e. verify and maintain (logical) consistency and (semantic) correctness of their contents. In this paper we describe two methods based on description logics (DLs) for the audit of TSs. One method uses non-primitive definitions to detect concepts with equivalent definitions. The other method is characterized by stringent assumptions that are made about concept definitions, in order to detect inconsistent definitions. We discuss the possibility of applying these methods to the Foundational Model of Anatomy (FMA) to demonstrate the potentials and pitfalls of these methods. We show that the methods are complementary, and can indeed improve the contents of medical TSs.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1942-597X
pubmed:author
pubmed:issnType
Electronic
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
166-70
pubmed:dateRevised
2010-9-16
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Two DL-based methods for auditing medical terminological systems.
pubmed:affiliation
Dept. of Medical Informatics, Academic Medical Center, University of Amsterdam, The Netherlands.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't