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Semantic reclassification of the UMLS concepts

Summary: 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 concep...

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Detalles Bibliográficos
Autores principales: Fan, Jung-Wei, Friedman, Carol
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2519163/
https://www.ncbi.nlm.nih.gov/pubmed/18625612
http://dx.doi.org/10.1093/bioinformatics/btn343
Descripción
Sumario:Summary: 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 Contact: fan@dbmi.columbia.edu Supplementary information: Supplementary data is available at http://www.dbmi.columbia.edu/~juf7002/reclassify_production.