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Data Duplication and Errors in Large Medical Data Sets: A Case Study in the IRIS® Registry

2 Sept 2025

Abstract excerpt

Purpose: To investigate entry errors and data duplication within the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) utilizing cataract surgery (CS), neodymium-doped: yttrium aluminum garnet (YAG) capsulotomy, age-related macular degeneration (AMD), and diabetic retinopathy (DR) records. Design: Retrospective cohort study. Participants: Patients in the IRIS Registry. Methods: and...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 41140906
DOI: 10.1016/j.xops.2025.100933

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