A pilot study of a heuristic algorithm for novel template identification from VA electronic medical record text.

Journal: Journal of biomedical informatics
Published Date: Aug 3, 2016

Abstract

RATIONALE: Templates in text notes pose challenges for automated information extraction algorithms. We propose a method that identifies novel templates in plain text medical notes. The identification can then be used to either include or exclude templates when processing notes for information extraction.

Authors

  • Andrew M Redd
    VA Salt Lake City Health Care System, Salt Lake City, UT, United States; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States. Electronic address: andrew.redd@hsc.utah.edu.
  • Adi V Gundlapalli
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Guy Divita
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Marjorie E Carter
    IDEAS Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA; Departments of Internal Medicine and Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Le-Thuy Tran
    VA Salt Lake City Health Care System, Salt Lake City, UT, United States; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.
  • Matthew H Samore
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.

Keywords

External Resources

Popular Topics
Recent Journals