Natural Language Processing in Surgery: A Systematic Review and Meta-analysis.

Journal: Annals of surgery
Published Date: May 1, 2021

Abstract

OBJECTIVE: The aim of this study was to systematically assess the application and potential benefits of natural language processing (NLP) in surgical outcomes research.

Authors

  • Joseph A Mellia
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Marten N Basta
    Department of Plastic and Reconstructive Surgery, Brown University. Providence, RI.
  • Yoshiko Toyoda
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Sammy Othman
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Omar Elfanagely
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: oelfanagely@gmail.com.
  • Martin P Morris
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania. Philadelphia, PA.
  • Luke Torre-Healy
    Department of Biomedical Informatics, Stony Brook Medicine, Stony Brook, New York.
  • Lyle H Ungar
    Department of Computer & Information Science, University of Pennsylvania.
  • John P Fischer
    Division of Plastic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.

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