Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records.

Journal: American journal of ophthalmology
Published Date: Feb 1, 2024

Abstract

PURPOSE: Nearly all published ophthalmology-related Big Data studies rely exclusively on International Classification of Diseases (ICD) billing codes to identify patients with particular ocular conditions. However, inaccurate or nonspecific codes may be used. We assessed whether natural language processing (NLP), as an alternative approach, could more accurately identify lens pathology.

Authors

  • Joshua D Stein
    Department of Ophthalmology & Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan.
  • Yunshu Zhou
    From the W.K. Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA (J.D.S., Y.Z., C.A.A., J.B.).
  • Chris A Andrews
    From the W.K. Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA (J.D.S., Y.Z., C.A.A., J.B.).
  • Judy E Kim
    The Eye Institute, Medical College of Wisconsin, Milwaukee, Wisconsin.
  • Victoria Addis
    Department of Ophthalmology, University of Pennsylvania, Philadelphia, Pennsylvania, USA (V.A.).
  • Jill Bixler
    From the W.K. Kellogg Eye Center, Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan, USA (J.D.S., Y.Z., C.A.A., J.B.).
  • Nathan Grove
    Department of Ophthalmology, University of Colorado School of Medicine, Aurora, Colorado, USA (N.G.).
  • Brian McMillan
    Department of Ophthalmology and Visual Sciences, West Virginia University School of Medicine, Morgantown, WV, 26506, USA.
  • Saleha Z Munir
    Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA (S.Z.M.).
  • Suzann Pershing
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California.
  • Jeffrey S Schultz
    Department of Ophthalmology, Montefiore Medical Center, New York, New York, USA (J.S.S.).
  • Brian C Stagg
    Department of Ophthalmology, University of Utah, Salt Lake City, Utah, USA (B.C.S.).
  • Sophia Y Wang
    School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Fasika Woreta
    Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA (F.W.).

Keywords

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