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Article

Development of predictive models of proliferative vitreoretinopathy based on genetic variables: the Retina 4 project.

Investigative ophthalmology & visual science - 1 May 2009

Rojas Jimena, Fernandez Itziar, Pastor J Carlos, Garcia-Gutierrez Maria-Teresa, Sanabria Rosa-Maria, Brion Maria, Sobrino Beatriz, Manzanas Lucia, Giraldo Antonio, Rodriguez-de la Rua Enrique, Carracedo Angel

Abstract excerpt

PURPOSE: Machine learning techniques were used to identify which of 14 algorithms best predicts the genetic risk for development of proliferative vitreoretinopathy (PVR) in patients who are experiencing primary rhegmatogenous retinal detachment (RD). METHOD: Data from a total of 196 single nucleo...

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Source

Identifiers

PMID: 19098314
DOI: 10.1167/iovs.08-2670

Genes

PVR

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19098314-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

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