Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE

Cardiovascular disease (CVD) ranks among the top causes of mortality globally, underscoring the urgent necessity for advanced predictive models to enhance early detection and preventative measures. In this direction, this study investigates the performance of five well-established deep learning (DL)...

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Bibliographic Details
Main Authors: Maria Trigka, Elias Dritsas
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10916648/
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