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Progression of Patterns (POP): A Machine Classifier Algorithm to Identify Glaucoma Progression in Visual Fields
Journal article   Open access  Peer reviewed

Progression of Patterns (POP): A Machine Classifier Algorithm to Identify Glaucoma Progression in Visual Fields

Michael H Goldbaum, Intae Lee, Giljin Jang, Madhusudhanan Balasubramanian, Pamela A Sample, Robert N Weinreb, Jeffrey M Liebmann, Christopher A Girkin, Douglas R Anderson, Linda M Zangwill, …
Investigative ophthalmology & visual science, Vol.53(10), pp.6557-6567
2012-09
PMCID: PMC3460386
PMID: 22786913

Abstract

Progression of Patterns (POP) is a novel machine learning classifier (MLC) algorithm, based on our modification of independent component analysis (ICA), for determining if an eye is stable or shows progression of glaucomatous visual field (VF) defects. This mathematical approach seeks to avoid human bias.
url
https://doi.org/10.1167/iovs.11-8363View
Published (Version of record) Open

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.36 Ophthalmology
1.36.226 Glaucoma
Web Of Science research areas
Ophthalmology
ESI research areas
Clinical Medicine

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#3 Good Health and Well-Being

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