Heart disease prediction using autoencoder and DenseNet architecture

Heart disease prediction using autoencoder and DenseNet architecture

Heart disease continues to be a prominent cause of death globally, emphasizing the critical requirement for precise prediction techniques and prompt therapies. This research presents a new method that utilizes the collective capabilities of autoencoder and DenseNet architectures to predict heart ill...

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Bibliographic Details
Main Authors: Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Egyptian Informatics Journal
Subjects:
Heart Disease
Heart Disease Cleveland dataset
Machine-Learning
Sparse Autoencoder
DenseNet
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524001221

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http://www.sciencedirect.com/science/article/pii/S1110866524001221

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