A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction

Cardiac data modeling remains challenging in emerging nations across Asia and Africa. This research proposes an ensemble classification method leveraging machine learning (ML) to predict cardiac problems, providing physicians with actionable insights for personalized diagnoses and treatments. An ens...

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Bibliographic Details
Main Authors: Jini Mol G., Ajith Bosco Raj T.
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:Automatika
Subjects:
1D-CNN
genetic algorithm (GA)
optimized GRU (OGRU)
SMOTE-ENN
Online Access:https://www.tandfonline.com/doi/10.1080/00051144.2024.2423430
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