Natural language processing for the surveillance of postoperative venous thromboembolism.

Journal: Surgery
Published Date: Oct 1, 2021

Abstract

BACKGROUND: The objective of this study was to develop a portal natural language processing approach to aid in the identification of postoperative venous thromboembolism events from free-text clinical notes.

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.
  • Stacy A Johnson
    Division of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States of America; Thrombosis Service, University of Utah Health, Salt Lake City, UT, United States of America. Electronic address: stacy.a.johnson@hsc.utah.edu.
  • Jeffrey P Ferraro
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • David E Skarda
    Department of Surgery University of Utah School of Medicine, Salt Lake City, Utah.
  • Samuel R G Finlayson
    Department of Surgery University of Utah School of Medicine, Salt Lake City, Utah.
  • Matthew H Samore
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Brian T Bucher
    School of Medicine, University of Utah, Salt Lake City, Utah, US.

Keywords

External Resources

Popular Topics
Recent Journals