Michael Pencina

Toward a Deeper Understanding of Predicting Risk of Cardiovascular Disease Events for 10‐Year Atherosclerotic Cardiovascular Risk: Subgroup Fairness and Predictive Value of Social Determinants of Health

BACKGROUND: The American Heart Association's Predicting Risk of Cardiovascular Disease Events model offers a modern, race-free approach to risk prediction, but its subgroup fairness and the added value of social determinants of health (SDOH) remain underexplored. METHODS: To eval...

A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study

Abstract Background Fairness evaluation is essential for trustworthy clinical risk prediction. However, existing fairness-oriented discrimination metrics either ignore cross-group comparisons or rely on exhaustive pairwise evaluations, making them difficult to interpret and impra...