Feature-weighted calibrated tabular explainable AI for heart disease prediction
Cardiovascular disease (CVD) remains a leading cause of mortality and morbidity globally. Early detection and stratification of CVD risk using machine-learning models can improve patient outcomes; however, existing models often suffer from limited interpretability, small sample sizes, class imbalance, and uncalibrated...
Muhammad Asad, Md Tohfatul Islam, Md Tanvir Rahman Khan et al.
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