Generalizability and portability of natural language processing system to extract individual social risk factors.

Journal: International journal of medical informatics
Published Date: Jun 5, 2023

Abstract

OBJECTIVE: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was originally developed at a different institution.

Authors

  • Tanja Magoc
    College of Medicine, University of Florida, Gainesville, FL, USA. Electronic address: tmagoc@ufl.edu.
  • Katie S Allen
    Regenstrief Institute, Inc., Indianapolis, IN, USA; Richard M. Fairbanks School of Public Health, IUPUI, Indianapolis, IN, USA.
  • Cara McDonnell
    College of Medicine, University of Florida, Gainesville, FL, USA.
  • Jean-Paul Russo
    College of Medicine, University of Florida, Gainesville, FL, USA; Miller School of Medicine, University of Miami, Miami, FL, USA.
  • Jonathan Cummins
    Regenstrief Institute, Inc., Indianapolis, IN, USA.
  • Joshua R Vest
    Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, United States.
  • Christopher A Harle
    Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.

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