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Article

Unsupervised Clustering for POAG Phenotyping.

Investigative ophthalmology & visual science - 1 Jul 2026

Puspa Prizka A, Parmar Uday Pratap Singh, Sekimitsu Sayuri, Moradi Mousa, Rossin Elizabeth J, Friedman David, Elze Tobias, Zebardast Nazlee

Abstract excerpt

Purpose: To identify and characterize clinically meaningful phenotypic subtypes of POAG using unsupervised clustering of multimodal clinical data. Methods: This retrospective cohort study included 4274 eyes from 4274 patients aged ≥40 years with POAG. Twenty-one clinical features encompassing visual field indices and progression slopes, retinal nerve fiber layer (RNFL) thickness, optic nerve head parameters, and...

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Identifiers

PMID: 42383814
DOI: 10.1167/iovs.67.8.2
PMCID: PMC13332525

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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