Linked Life Data

14728531

Source:http://linkedlifedata.com/resource/pubmed/id/14728531

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-1-19
pubmed:abstractText
Finding the hierarchical relations amongst multiple terms within medical terminologies that support multiple parents to a term is a common task, especially for trainees and knowledge engineers implementing or maintaining medical logic modules or guidelines. Examples of such terminologies include the UMLS and the Medical Entity Dictionary (MED). In addition, the task of identifying and discriminating amongst some common ancestors to a list of terms is a recurrent theme. This is also a common concern in the science of classification (systematics). Some nearest common ancestors have distinct valuable properties for classification and simplification of lists. Although there exist some visualized navigating and editing tools for the UMLS and the MED, they are browsers that show a large number of unrelated and irrelevant relationships to the task at hand. While algorithms have been well studied in computer science to solve such a problem over semantic networks and trees, to our knowledge, they have not been used with a visualization tool in biomedicine. We developed a visualized tool that graphically displays the hierarchical relations of multiple terms, and helps identifying the nearest common ancestors of these terms.
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
1028
pubmed:dateRevised
2010-6-11
pubmed:meshHeading
pubmed:year
2003
pubmed:articleTitle
A "systematics" tool for medical terminologies.
pubmed:affiliation
Department of Medical Informatics, Columbia University, New York, NY, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.