Integrating conformal prediction with machine learning for uncertainty-aware risk stratification in coronary artery disease
Background Predictive models are increasingly used in clinical decision-making in coronary artery disease (CAD). However, most existing models focus on discriminative ability while ignoring individual prediction uncertainty, which is particularly prominent in small-sample contexts, limiting clinical applications. Metho...