Algorithmic fairness in machine-learning models for determining the progression or recurrence of cardiovascular disease in racialized populations: a scoping review
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Objective: To examine how algorithmic fairness is measured, operationalized, and reported in machine learning (ML) models designed to predict or support secondary prevention of cardiovascular disease (CVD) outcomes including prog... ...
