title: Semantic reclassification of the UMLS concepts.
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.
  
  
  BACKGROUND
  http://www.dbmi.columbia.edu/~juf7002/reclassify_production
authors.affiliation: Department of Biomedical Informatics, Columbia University, 622 W 168th St, VC5, New York, NY10032, USA. fan@dbmi.columbia.edu
authors.forename: Jung-Wei
authors.initials: JW
authors.lastname: Fan
authors.forename: Carol
authors.initials: C
authors.lastname: Friedman
mesh_terms: D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods*; D009323:Natural Language Processing; D012660:Semantics; D009626:Terminology as Topic; D017432:Unified Medical Language System