PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data

PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data

<i>Background and Objectives</i>: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on stand-alone models or International Classification of Diseases (ICD) codes is insufficient due to limited predictive power and inconsistencies in clinical la...

Full description

Saved in:
Bibliographic Details
Main Authors: Mousa Moradi, Saber Kazeminasab Hashemabad, Daniel M. Vu, Allison R. Soneru, Asahi Fujita, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Medicina
Subjects:
glaucoma
classification
Humphrey field analyzer
machine learning
MLP
Online Access:https://www.mdpi.com/1648-9144/61/3/541
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1648-9144/61/3/541

Similar Items