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FGSCare: A Feature-driven Grid Search-based Machine Learning Framework for Coronary Heart Disease Prediction

2025-04-16

Abstract excerpt

Although machine learning has become a powerful tool for coronary heart disease (CHD) prediction, its effectiveness is often hindered by the complexity and nonlinear interactions among medical risk factors. A major challenge lies in feature selection, where the absence of systematic strategies may lead to information loss, overfitting, or the inclusion of irrelevant variables, ultimately degrading predictive perfo...

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Literature Corpus work: 941203cd-81e6-5996-a8fa-619dab0a7e00
DOI: 10.32388/nb9j6f

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