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Explainable Hybrid CNN SVM Framework for Cardiovascular Disease Risk Prediction Using Clinical Data

2026-05-08

Abstract excerpt

<title>Abstract</title> <p>Cardiovascular disease (CVD) is one of the major causes of death in the globe, and it needs precise and interpretable models of early risk prediction. The suggested research proposes a hybrid research that will combine features of LASSO, base machine learning models, and a CNN-SVM model. Normalization, data outliers, and class balancing using SMOTE were done as preprocessing measures to...

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Literature Corpus work
201379b8-8557-5a7a-899d-0db04f4f5ba8
DOI
10.21203/rs.3.rs-9351355/v1
Open publication

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Explainable Hybrid CNN SVM Framework for Cardiovascular Disease Risk Prediction Using Clinical DataDOI 10.21203/rs.3.rs-9351355/v1
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