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. 2008 Sep 1;24(17):1971-3.
doi: 10.1093/bioinformatics/btn343. Epub 2008 Jul 13.

Semantic reclassification of the UMLS concepts

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Semantic reclassification of the UMLS concepts

Jung-Wei Fan et al. Bioinformatics. .

Abstract

Accurate semantic classification is valuable for text mining and knowledge-based tasks that perform inference based on semantic classes. To benefit applications using the semantic classification of the Unified Medical Language System (UMLS) concepts, we automatically reclassified the concepts based on their lexical and contextual features. The new classification is useful for auditing the original UMLS semantic classification and for building biomedical text mining applications.

Availability: http://www.dbmi.columbia.edu/~juf7002/reclassify_production

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Figures

Fig. 1.
Fig. 1.
Training and classifying with our two classifiers.

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References

    1. Ahlers CB, et al. Extracting semantic predications from MEDLINE citations for pharmacogenomics. Pac. Symp. Biocomput. 2007;12:209–220. - PubMed
    1. Fan JW, Friedman C. Semantic classification of biomedical concepts using distributional similarity. J. Am. Med. Inform. Assoc. 2007;14:467–477. - PMC - PubMed
    1. Fan JW, et al. Using contextual and lexical features to restructure and validate the classification of biomedical concepts. BMC Bioinformatics. 2007;8:264. - PMC - PubMed
    1. Gu HH, et al. Auditing concept categorizations in the UMLS. Artif. Intell. Med. 2004;31:29–44. - PubMed
    1. Hofmann O, Schomburg D. Concept-based annotation of enzyme classes. Bioinformatics. 2005;21:2059–2066. - PubMed

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