Evaluating and Improving the Performance and Racial Fairness of Algorithms for GFR Estimation-Reference-Cited by-同舟云学术

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Evaluating and Improving the Performance and Racial Fairness of Algorithms for GFR Estimation

Published:2024-02-05 Issue: Volume:abs/1609.05807 Page:251-257
ISSN:
Container-title:2024 IEEE First International Conference on Artificial Intelligence for Medicine, Health and Care (AIMHC)
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Author:

Zhang Linying¹,Richter Lauren R.¹,Kim Tevin¹,Hripcsak George¹

Affiliation:

1. Columbia University,Department of Biomedical Informatics,New York,NY,USA

Funder

National Institutes of Health (NIH)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10504287/10504309/10504336.pdf?arnumber=10504336

Reference24 articles.

1. From race-based to race-conscious medicine: how anti-racist uprisings call us to act

2. Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms

3. A New Equation to Estimate Glomerular Filtration Rate

4. Measured GFR as a Confirmatory Test for Estimated GFR

5. Measured GFR: not a gold, but a gold-plated standard

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