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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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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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 |
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. |
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