Ethical limitations of algorithmic fairness solutions in health care machine learning-Reference-Cited by-同舟云学术

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Ethical limitations of algorithmic fairness solutions in health care machine learning

Published:2020-05 Issue:5 Volume:2 Page:e221-e223
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

McCradden Melissa D,Joshi Shalmali,Mazwi Mjaye,Anderson James A

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference10 articles.

1. Implementing machine learning in health care—addressing ethical challenges;Char;N Engl J Med,2018

2. Dissecting racial bias in an algorithm used to manage the health of populations;Obermeyer;Science,2019

3. Social determinants of health inequalities;Marmot;Lancet,2005

4. Assessing risk, automating racism;Benjamin;Science,2019

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4. Emerging Analytical Approaches for Personalized Medicine Using Machine Learning In Pediatric and Congenital Heart Disease;Canadian Journal of Cardiology;2024-08

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