Hathaichanok Chompoopong

Translational Evaluation of Interpretable Machine Learning for Cardiovascular Risk Prediction: Calibration Decomposition, Subgroup Audits, and Decision-Utility Analysis

A translational evaluation of interpretable machine-learning models for heart disease prediction using a deployment-oriented framework integrating discrimination, calibration, explainability, subgroup stability, and decision-utility analysis via decision curve analysis is conducted.