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

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

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...

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Bibliographic Details
Main Authors: Sophia Y. Wang, MD, MS, Rohith Ravindranath, MS, Joshua D. Stein, MD, MS, Sejal Amin, Paul A. Edwards, Divya Srikumaran, Fasika Woreta, Jeffrey S. Schultz, Anurag Shrivastava, Baseer Ahmad, Judy Kim, Paul Bryar, Dustin French, Brian L. Vanderbeek, Suzann Pershing, Sophia Y. Wang, Anne M. Lynch, Jenna Patnaik, Saleha Munir, Wuqaas Munir, Joshua Stein, Lindsey DeLott, Brian C. Stagg, Barbara Wirostko, Brian McMillian, Arsham Sheybani
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Ophthalmology Science
Subjects:
Machine learning
Glaucoma
Multicenter study
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S266691452300177X

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http://www.sciencedirect.com/science/article/pii/S266691452300177X

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