Article

Evaluating Feature Selection Methods and Feature Contributions for Cardiovascular Disease Risk Prediction

2025-07-14

Abstract excerpt

<h4>Background</h4> Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support preventive care and timely clinical decisions. With the growing complexity of healthcare data, machine learning has shown considerable promise in extracting insights that enhance medical decision-making. N...

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Literature Corpus work: 54c5963e-0d1c-512b-96a5-e3e19061fc08
DOI: 10.1101/2025.07.12.25331445

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