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Characterizing and quantifying diagnostic (un)certainty in medical reports through natural language processing

  • Amherst College
  • Grinnell College
  • University of Nebraska at Lincoln
  • DePaul University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Pages914-919
Number of pages6
ISBN (Electronic)9781728155845
DOIs
StatePublished - Dec 2019
Event6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019 - Las Vegas, United States
Duration: Dec 5 2019 → Dec 7 2019

Publication series

NameProceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019

Conference

Conference6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019
Country/TerritoryUnited States
CityLas Vegas
Period12/5/19 → 12/7/19

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

Keywords

  • Diagnostic uncertainty
  • Medical uncertainty
  • Natural language processing
  • NLP
  • Word2vec

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