R. Singh

Explainable AI for Conditional Stroke Probability Estimation: A Hybrid Bayesian Network Approach

Machine learning models offer high discriminatory power for cross-sectional stroke-status classification, yet high-performing models often remain “black boxes” with little intrinsic interpretability. Bayesian networks (BNs) are probabilistic graphical models that offer intrinsic, auditable interpretability without the...