A Comparative Analysis of Algorithmic Fairness–Improving Approaches

ABSTRACT Objective: Evaluating whether common algorithmic fairness–improving approaches can improve low-birth-weight predictive model performance can provide important implications for population health management and health equity. This study aimed to evaluate alternative approaches for improving algorithmic fairness for low-birth-weight predictive models. […]

A Comparative Analysis of Algorithmic Fairness–Improving Approaches Read More »