Integrating Deep Learning with Electronic Health Records for Early Glaucoma Detection: A Multi-Dimensional Machine Learning Approach

Background: Recent advancements in deep learning have significantly impacted ophthalmology, especially in glaucoma, a leading cause of irreversible blindness worldwide. In this study, we developed a reliable predictive model for glaucoma detection using deep learning models based on clinical data, s...

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Bibliographic Details
Published in:	Bioengineering (Basel) Vol. 11; no. 6; p. 577
Main Authors:	Karimi, Alireza, Stanik, Ansel, Kozitza, Cooper, Chen, Aiyin
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.06.2024 MDPI
Subjects:	Accuracy Alcohol Algorithms Artificial intelligence Blindness Blood pressure Body mass index Body size clinical data Clinical outcomes Cross-sectional studies Datasets Deep learning Demographics Demography Development and progression Diabetes Disease early detection Electronic health records Electronic medical records Electronic records Family medical history Glaucoma Hydrochlorothiazide Intraocular pressure Learning algorithms Lifestyles Machine learning machine learning algorithms Medical records Neural networks Ophthalmology Patients Performance measurement Prediction models Primary care Risk assessment Risk factors Social behavior Social discrimination learning Tobacco Tomography early detection machine learning algorithms glaucoma clinical data
ISSN:	2306-5354, 2306-5354
Online Access:	Get full text
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