Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression-Reference-Cited by-同舟云学术

Glaucoma Progression Prediction Using Retinal Thickness via Latent Space Linear Regression

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Zheng Yuhui¹,Xu Linchuan²,Kiwaki Taichi²,Wang Jing¹,Murata Hiroshi¹,Asaoka Ryo¹,Yamanishi Kenji¹

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. The University of Tokyo, Toyko, Japan

Funder

Suzuken Memorial Foundation

JST AIP

JSPS KAKENHI

Mitsui Life Social Welfare Foundation

Ministry of Education Culture Sports Science and Technology of Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330757

Reference36 articles.

1. Relationship between Visual Field Sensitivity and Retinal Nerve Fiber Layer Thickness as Measured by Optical Coherence Tomography

2. Evaluating A 'Random Forestâ' Decision Tree Classifier To Identify Eyes With Glaucomatous Visual Field Loss Applied To Measurements From Multiple Imaging Devices;Asaoka Ryo;Investigative Ophthalmology & Visual Science,2012

3. Mariko Eura. 2014. Correspondence Between Visual Field Test Results and GCL Mariko Eura. 2014. Correspondence Between Visual Field Test Results and GCL

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