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Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk
2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19
Guidelines for the management of atherosclerotic cardiovascular disease (ASCVD) recommend the use of risk stratification models to identify patients most likely to benefit from cholesterollowering and other therapies. These models have differential performance across race and gender groups with inconsistent behavior across studies, potentially resulting in an inequitable distribution of beneficial therapy. In this work, we leverage adversarial learning and a large observational cohort extracted
doi:10.1145/3306618.3314278
dblp:conf/aies/PfohlMCRPS19
fatcat:xhccq7pgxbajbj5quh7tlruioq