The Yale cTAKES extensions for document classification: architecture and application.
Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of effective clinical document classification systems. Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges.
Author(s): Garla, Vijay, Lo Re, Vincent, Dorey-Stein, Zachariah, Kidwai, Farah, Scotch, Matthew, Womack, Julie, Justice, Amy, Brandt, Cynthia
DOI: 10.1136/amiajnl-2011-000093