Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing

Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing

Purpose: Advances in artificial intelligence have produced a few predictive models in glaucoma, including a logistic regression model predicting glaucoma progression to surgery. However, uncertainty exists regarding how to integrate the wealth of information in free-text clinical notes. The purpose...

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Bibliographic Details
Main Authors: Sophia Y. Wang, MD, MS, Benjamin Tseng, Tina Hernandez-Boussard, PhD
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Ophthalmology Science
Subjects:
Glaucoma
Artificial Intelligence
Deep Learning
Informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522000161

Internet

http://www.sciencedirect.com/science/article/pii/S2666914522000161

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