Source:http://linkedlifedata.com/resource/pubmed/id/10566315
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2000-2-1
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pubmed:abstractText |
This paper reports on the experiences from evaluation of GALEN methods for mapping of follow-up categories in the domain of thoracic surgery to an existing classification of surgical procedures. The mapping of the aggregated levels or groups of thoracic procedures presents a genuine problem in relation to strict hierarchical classifications, since the follow-up categories not necessarily fit in the pre-set structure of the classification. The paper reports on the experiences from modelling of the traditional classification as well as modelling of the follow-up categories, together with an analysis of results with a discussion of opportunities and potential problems and pitfalls when applying GALEN models and tools.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-10179546,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-10184894,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9040895,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9082124,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9147343,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9357698,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9391934,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9865048,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566315-9865051
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1531-605X
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
32-6
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading | |
pubmed:year |
1999
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pubmed:articleTitle |
Aggregation and reclassification--assessment of GALEN methods in the domain of thoracic surgery.
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pubmed:affiliation |
Department of Medical Informatics, Linköping University, Sweden.
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pubmed:publicationType |
Journal Article
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