Linked Life Data

18998922

Source:http://linkedlifedata.com/resource/pubmed/id/18998922

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-11-12
pubmed:abstractText
SNOMED CT is an extensive terminology with an attendant amount of complexity. Two measures are proposed for quantifying that complexity. Both are based on abstraction networks, called the area taxonomy and the partial-area taxonomy, that provide, for example, distributions of the relationships within a SNOMED hierarchy. The complexity measures are employed specifically to track the complexity of versions of the Specimen hierarchy of SNOMED before and after it is put through an auditing process. The pre-audit and post-audit versions are compared. The results show that the auditing process indeed leads to a simplification of the terminology's structure.
pubmed:grant
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
778-82
pubmed:dateRevised
2010-1-22
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Complexity measures to track the evolution of a SNOMED hierarchy.
pubmed:affiliation
NJIT, Newark, NJ, USA.
pubmed:publicationType
Journal Article, Comparative Study, Evaluation Studies, Research Support, N.I.H., Extramural