Statements in which the resource exists.
SubjectPredicateObjectContext
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pubmed-article:16779190pubmed:abstractTextLaboratory data need to be imported automatically into central Clinical Study Data Management Systems (CSDMSs), and abnormal laboratory data need to be linked to clinically related adverse events. This import of laboratory data can be automated through mapping to standard vocabularies with HL7/LOINC mapping to the metadata within a CSDMS. We have designed a system that uses the UMLS metathesaurus as a common source to map or link abnormal laboratory values to adverse event CTCAE coded terms and grades in the metadata of TrialDB, a generic CSDMS.lld:pubmed
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pubmed-article:16779190pubmed:authorpubmed-author:LuC CCClld:pubmed
pubmed-article:16779190pubmed:authorpubmed-author:BrandtC ACAlld:pubmed
pubmed-article:16779190pubmed:authorpubmed-author:NadkarniP MPMlld:pubmed
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pubmed-article:16779190pubmed:pagination903lld:pubmed
pubmed-article:16779190pubmed:dateRevised2011-11-17lld:pubmed
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pubmed-article:16779190pubmed:articleTitleAutomating identification of adverse events related to abnormal lab results using standard vocabularies.lld:pubmed
pubmed-article:16779190pubmed:affiliationYale University School Of Medicine, USA.lld:pubmed
pubmed-article:16779190pubmed:publicationTypeJournal Articlelld:pubmed
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