Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Apr 1, 2019

Abstract

OBJECTIVE: Natural language processing (NLP) of symptoms from electronic health records (EHRs) could contribute to the advancement of symptom science. We aim to synthesize the literature on the use of NLP to process or analyze symptom information documented in EHR free-text narratives.

Authors

  • Theresa A Koleck
    Columbia University, School of Nursing, New York, NY, USA.
  • Caitlin Dreisbach
    University of Virginia, School of Nursing, Charlottesville, VA, USA; University of Virginia, Data Science Institute, Charlottesville, VA, USA.
  • Philip E Bourne
    University of Virginia, Data Science Institute, Charlottesville, VA, USA; University of Virginia, Department of Biomedical Engineering, Charlottesville, VA, USA.
  • Suzanne Bakken
    Columbia University, School of Nursing, New York, NY, USA; Columbia University, Department of Biomedical Informatics, New York, NY, USA; Columbia University, Data Science Institute, New York, NY, USA. Electronic address: sbh22@cumc.columbia.edu.

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