FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models
arXiv:2604.04858v1 Announce Type: new
Abstract: Objective: Algorithmic fairness is essential for equitable and trustworthy machine learning in healthcare. Most fairness tools emphasize single-axis demographic comparisons and may miss compounded dispar…