FairMed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data

Researchers developed FairMed-XGB, a machine learning framework that reduces gender bias in healthcare AI models by 40-72% while maintaining predictive accuracy. The system uses Bayesian optimization and explainable AI to ensure equitable treatment decisions in critical care settings.