Use of Machine Learning on Contact Lens Sensor–Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma-Reference-Cited by-同舟云学术

Use of Machine Learning on Contact Lens Sensor–Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma

Published:2018-10 Issue: Volume:194 Page:46-53
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Martin Keith R.^ORCID,Mansouri Kaweh,Weinreb Robert N.,Wasilewicz Robert,Gisler Christophe,Hennebert Jean,Genoud Dominique,Shaarawy Tarek,Erb Carl,Pfeiffer Norbert,Trope Graham E.,Medeiros Felipe A.,Barkana Yaniv,Liu John H.K.,Ritch Robert,Mermoud André,Jinapriya Delan,Birt Catherine,Ahmed Iqbal I.,Kranemann Christoph,Höh Peter,Lachenmayr Bernhard,Astakhov Yuri,Chen Enping,Duch Susana,Marchini Giorgio,Gandolfi Stefano,Rekas Marek,Kuroyedov Alexander,Cernak Andrej,Polo Vicente,Belda José,Grisanti Swaantje,Baudouin Christophe,Nordmann Jean-Philippe,De Moraes Carlos G.,Segal Zvi,Lusky Moshe,Morori-Katz Haia,Geffen Noa,Kurtz Shimon,Liu Ji,Budenz Donald L.,Knight O'Rese J.,Mwanza Jean Claude,Viera Anthony,Castanera Fernando,Che-Hamzah Jemaima

Funder

Commission for Technology and Innovation

Publisher

Elsevier BV

Subject

Ophthalmology

Reference19 articles.

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3. The Evonik-Mainz Eye Care-Study (EMECS): development of an expert system for glaucoma risk detection in a working population;Wahl;PLoS One,2016

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