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

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

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Publication Details

Journal
Ophthalmology Science
Published
2025-09-02
DOI
https://doi.org/10.1016/j.xops.2025.100933
Citations
1
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
2.11
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article

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

Aaron Lee, Vivian Paraskevi Douglas, Anja Lorch, Tobias Elze et al.
1 citations
Ophthalmology Science
Data Quality and Management
2.11
article

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

Aaron Lee, Vivian Paraskevi Douglas, Anja Lorch, Tobias Elze, Eric A Goldberg, Joan W. Miller, Connor J. Ross, Julia A. Haller, Alexander R. Ivanov, Cecilia S. Lee, Suzann Pershing, Flora Lum, Leslie Hyman
article en
1 citations

Abstract

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Ophthalmology ScienceVol. 6(1)
Massachusetts Eye and Ear Infirmary (US), Harvard University (US)
Openalex Percentile: Top 11%
Data Quality and Management
2.11
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Data Duplication and Errors in Large Medical Data Sets: A Case Study in the IRIS® Registry — Aaron Lee, Vivian Paraskevi Douglas, et al. · Ophthalmology Science (2025) | TGRS Research Map | TGRS