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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1990717463> ?p ?o ?g. }

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• W1990717463 abstract "The Unified Medical Language System (UMLS) is the largest thesaurus in the biomedical informatics domain. Previous works have shown that knowledge constructs comprised of transitively-associated UMLS concepts are effective for discovering potentially novel biomedical hypotheses. However, the extremely large size of the UMLS becomes a major challenge for these applications. To address this problem, we designed a k-neighborhood Decentralization Labeling Scheme (kDLS) for the UMLS, and the corresponding method to effectively evaluate the kDLS indexing results. kDLS provides a comprehensive solution for indexing the UMLS for very efficient large scale knowledge discovery. We demonstrated that it is highly effective to use kDLS paths to prioritize disease-gene relations across the whole genome, with extremely high fold-enrichment values. To our knowledge, this is the first indexing scheme capable of supporting efficient large scale knowledge discovery on the UMLS as a whole. Our expectation is that kDLS will become a vital engine for retrieving information and generating hypotheses from the UMLS for future medical informatics applications." @default.
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• W1990717463 date "2012-04-01" @default.
• W1990717463 modified "2023-10-05" @default.
• W1990717463 title "k-Neighborhood decentralization: A comprehensive solution to index the UMLS for large scale knowledge discovery" @default.
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• W1990717463 doi "https://doi.org/10.1016/j.jbi.2011.11.012" @default.
• W1990717463 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3306517" @default.
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