Early recognition of multiple sclerosis using natural language processing of the electronic health record.

Journal: BMC medical informatics and decision making
Published Date: Feb 28, 2017

Abstract

BACKGROUND: Diagnostic accuracy might be improved by algorithms that searched patients' clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to the initial recognition by their healthcare providers.

Authors

  • Herbert S Chase
    Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Lindsey R Mitrani
    Department of Biomedical Informatics, Columbia University Medical Center, PH-20, 622 West 168th street, New York, NY, 10032, USA.
  • Gabriel G Lu
    Department of Biomedical Informatics, Columbia University Medical Center, PH-20, 622 West 168th street, New York, NY, 10032, USA.
  • Dominick J Fulgieri
    Department of Biomedical Informatics, Columbia University Medical Center, PH-20, 622 West 168th street, New York, NY, 10032, USA.

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