Source:http://linkedlifedata.com/resource/pubmed/id/10566337
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2000-2-1
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pubmed:abstractText |
Recently, the Extensible Markup Language (XML) has received growing attention as a simple but flexible mechanism to represent medical data. As XML-based markups become more common there will be an increasing need to transform data stored in one XML markup into another markup. The Extensible Stylesheet Language (XSL) is a stylesheet language for XML. Development of a new mammography reporting system created a need to convert XML output from the MEDLee natural language processing system into a format suitable for cross-patient reporting. This paper examines the capability of XSL as a rule specification language that supports the medical XML data transformation. A set of nine relevant transformations was identified: Filtering, Substitution, Specification, Aggregation, Merging, Splitting, Transposition, Push-down and Pull-up. XSL-based methods for implementing these transformations are presented. The strengths and limitations of XSL are discussed in the context of XML medical data transformation.
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-7949935,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-9600416,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-9824799,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-9929313,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-9929315,
http://linkedlifedata.com/resource/pubmed/commentcorrection/10566337-9929316
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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 |
142-6
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading | |
pubmed:year |
1999
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pubmed:articleTitle |
Use of the Extensible Stylesheet Language (XSL) for medical data transformation.
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pubmed:affiliation |
Department of Medical Informatics, Columbia University College of Physicians and Surgeons, New York, New York, USA.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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