Xin-Min Huang

A Transportable Threshold-Based Framework for Interpretable Classification of Medical Data

Black-box models limit the adoption of artificial intelligence in medicine due to their lack of interpretability and reproducibility. We introduce a statistically grounded framework that provides fully interpretable, rule-based clinical classification using the Bernoulli Na\"ive Bayes (BNB) model. The method applies su...