2 papers
stat.ME2026
Towards Fair Predictions: Group Conditional Concordance Index to Quantify Fairness in Time-to-Event Prognostication
Haoyuan Wang, Riddhiman Bhattacharya, Richardo Henao +3
Fairness metrics are essential for rigorously defining, quantifying, and mitigating biases in predictive models. While most existing metrics focus on binary classification tasks, f…
cs.LG2025
Equitable Survival Prediction: A Fairness-Aware Survival Modeling (FASM) Approach
Mingxuan Liu, Yilin Ning, Haoyuan Wang +5
As machine learning models become increasingly integrated into healthcare, structural inequities and social biases embedded in clinical data can be perpetuated or even amplified by…