Interactive NLP in Clinical Care: Identifying Incidental Findings in Radiology Reports.

Journal: Applied clinical informatics
Published Date: Sep 4, 2019

Abstract

BACKGROUND: Despite advances in natural language processing (NLP), extracting information from clinical text is expensive. Interactive tools that are capable of easing the construction, review, and revision of NLP models can reduce this cost and improve the utility of clinical reports for clinical and secondary use.

Authors

  • Gaurav Trivedi
    Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA.
  • Esmaeel R Dadashzadeh
    Department of Surgery and Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Robert M Handzel
    Department of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Wendy W Chapman
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Shyam Visweswaran
    University of Pittsburgh, Pittsburgh, PA, USA.
  • Harry Hochheiser
    University of Pittsburgh, Pittsburgh, PA, USA.

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