Predicting 24-hour intraocular pressure peaks and averages with machine learning

Predicting 24-hour intraocular pressure peaks and averages with machine learning

PurposePredicting 24-hour peak and average intraocular pressure (IOP) is essential for the diagnosis and management of glaucoma. This study aimed to develop and assess a machine learning model for predicting 24-hour peak and average IOP, leveraging advanced techniques to enhance prediction accuracy....

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Bibliographic Details
Main Authors: Ranran Chen, Jinming Lei, Yujie Liao, Yiping Jin, Xue Wang, Xiaomei Li, Danping Wu, Hong Li, Yanlong Bi, Haohao Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Medicine
Subjects:
intraocular pressure
24-hour
measurement
nocturnal
machine learning
glaucoma
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1459629/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1459629/full

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