Article

A Consensus-Driven Stacking Ensemble Framework for Interpretable Cardiovascular Risk Prediction and Clinical Deployment

2026-05-26

Abstract excerpt

Machine learning (ML) is being considered to help diagnose cardiovascular diseases (CVD). Still, challenges like inconsistent and limited datasets, limited infrastructure, and global inequalities lead to the need for a reliable and practicable ML solution. This paper presents an ML-driven framework for predicting CVD risk scores and classifying status. Several data preprocessing techniques, including multiple impu...

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Literature Corpus work: 9d1ab95e-ff98-5887-a4bb-952112151ab5
DOI: 10.64898/2026.05.18.26352989

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