Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

Journal: Cornea
Published Date: Dec 1, 2021

Abstract

PURPOSE: The purpose of this article was to develop and validate a natural language processing (NLP) algorithm to extract qualitative descriptors of microbial keratitis (MK) from electronic health records.

Authors

  • Maria A Woodward
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: mariawoo@umich.edu.
  • Nenita Maganti
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Leslie M Niziol
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Sejal Amin
    Department of Ophthalmology, Henry Ford Health System, Detroit, Michigan.
  • Andrew Hou
    Department of Ophthalmology, Henry Ford Health System, Detroit, Michigan.
  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.

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