Adrian Noriega

Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization

Black-box models limit the adoption of artificial intelligence in medicine because their predictions are difficult to interpret and reproduce. We present a statistically grounded framework for interpretable, rule-based clinical classification using the Bernoulli Naïve Bayes (BNB)...