Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches
This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations.
