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CC BY 4.0 · ACI open 2025; 09(01): e29
DOI: 10.1055/s-0045-1809611
Corrigendum

Corrigendum: An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification Bias

Ajay Bhasin
1   Department of Medicine, Division of Hospital Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
2   Department of Pediatrics, Division of Hospital-Based Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
,
Suzette J. Bielinski
3   Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, United States
,
Abel N. Kho
4   Center for Health Information Partnerships, Institute for Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
5   Division of General Internal Medicine, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States
,
Nicholas B. Larson   *
6   Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, Minnesota, United States
,
Laura Rasmussen-Torvik   *
7   Department of Preventive Medicine, Division of Epidemiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States
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Correction to:

An Online Tool for Correcting Performance Measures of Electronic Phenotyping Algorithms for Verification BiasACI open 2024; 08(02): e89-e93
DOI: 10.1055/a-2402-5937

The authors would like to update their affiliations in the above article published in Applied Clinical Informatics Open, Volume 8, Number 2, e89-e93, on December 27, 2024 (DOI: 10.1055/a-2402-5937) The corrected affiliations appear as above.

* These authors contributed equally.




Publication History

Article published online:
26 June 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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