Prediction Models for Glaucoma in a Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative.

Journal: Ophthalmology science
Published Date: Dec 6, 2023

Abstract

PURPOSE: Advances in artificial intelligence have enabled the development of predictive models for glaucoma. However, most work is single-center and uncertainty exists regarding the generalizability of such models. The purpose of this study was to build and evaluate machine learning (ML) approaches to predict glaucoma progression requiring surgery using data from a large multicenter consortium of electronic health records (EHR).

Authors

  • Sophia Y Wang
    School of Medicine, Stanford University, Palo Alto, CA, United States.
  • Rohith Ravindranath
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California.
  • Joshua D Stein
    Department of Ophthalmology & Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, Michigan.

Keywords

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