Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With Transformers.

Journal: Translational vision science & technology
Published Date: Mar 2, 2022

Abstract

PURPOSE: We evaluated the use of massive transformer-based language models to predict glaucoma progression requiring surgery using ophthalmology clinical notes from electronic health records (EHRs).

Authors

  • Wendeng Hu
    Byers Eye Institute, Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA.
  • Sophia Y Wang
    School of Medicine, Stanford University, Palo Alto, CA, United States.

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