Comparison of Machine-Learning Classification Models for Glaucoma Management

Journal of Healthcare Engineering
Guangzhou AnMasahiro Akiba

Abstract

This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with four optic disc types by three glaucoma specialists and then randomly separated into training and test data. All the images of these eyes were captured using optical coherence tomography and laser speckle flowgraphy to quantify the ocular structure and blood-flow-related parameters. A total of 91 parameters were extracted from each eye along with the patients' background information. Machine-learning classifiers, including the neural network (NN), naïve Bayes (NB), support vector machine (SVM), and gradient boosted decision trees (GBDT), were trained to build the classification models, and a hybrid feature selection method that combines minimum redundancy maximum relevance and genetic-algorithm-based feature selection was applied to find the most valid and relevant features for NN, NB, and SVM. A comparison of the performance of the three machine-learning classification models showed that the NN had the best classification performance with a validated accuracy of 87.8% using only nine ...Continue Reading

References

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Mar 13, 2018·Current Opinion in Ophthalmology·Ehsan Rahimy

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Citations

Dec 19, 2018·Current Opinion in Ophthalmology·Chengjie ZhengMichael V Boland
Oct 24, 2019·The British Journal of Ophthalmology·Sripad Krishna DevallaMichael J A Girard
Apr 26, 2019·Computational and Mathematical Methods in Medicine·Lian ZouYaoqin Xie
Apr 9, 2019·The International Journal of Health Planning and Management·Li LuoWenwu Shen
Dec 12, 2020·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Bala PrabhakarKhushwant S Yadav
Jul 6, 2021·Asia-Pacific Journal of Ophthalmology·Tingxin CuiHaotian Lin
Jan 27, 2022·Medical & Biological Engineering & Computing·Mohammed H IbrahimFikret Ucar

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Software Mentioned

GBDT
DRI OCT Atlantis FastMap
GAFS

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