Research Paper: Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS

@article{Mutalik2001ResearchPU,
  title={Research Paper: Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLS},
  author={Pradeep Mutalik and Aniruddha M. Deshpande and Prakash M. Nadkarni},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2001},
  volume={8 6},
  pages={598-609}
}
OBJECTIVES To test the hypothesis that most instances of negated concepts in dictated medical documents can be detected by a strategy that relies on tools developed for the parsing of formal (computer) languages-specifically, a lexical scanner ("lexer") that uses regular expressions to generate a finite state machine, and a parser that relies on a restricted subset of context-free grammars, known as LALR(1) grammars. METHODS A diverse training set of 40 medical documents from a variety of… CONTINUE READING
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