Trie-based rule processing for clinical NLP: A use-case study of n-trie, making the ConText algorithm more efficient and scalable.

Journal: Journal of biomedical informatics
Published Date:

Abstract

OBJECTIVE: To develop and evaluate an efficient Trie structure for large-scale, rule-based clinical natural language processing (NLP), which we call n-trie.

Authors

  • Jianlin Shi
    University of Utah, Salt Lake City, UT, USA.
  • John F Hurdle
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.