M. F. Nasim

An Explainable Approach for Heart Disease Prediction Using an Evolutionary Rule-Based Learning Classifier System on Real-World ICU Data

Cardiovascular disease is the leading cause of death globally, yet few machine learning models for cardiac risk prediction are clinically interpretable. This paper develops an Explainable Artificial Intelligence (XAI) approach for heart disease risk classification on the MIMIC-IV-Ext Cardiac Disease dataset (v1.0.0, Ph...