A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study
This study develops and evaluates novel fairness-oriented discrimination metrics for clinical risk prediction that address limitations of within-group and pairwise cross-group approaches, and proposes group-level extensions of the CI and AUC that summarize subgroup-specific performance in a single interpretable measure...