Heart disease prediction by tabular modeling with deep learning network and interpretability

Cardiovascular disease remains one of the most prevalent causes of mortality globally, underscoring the critical necessity for precise predictive models for early detection and intervention. Despite the proven potential of machine learning (ML), including deep learning (DL) models and convolutional...

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Detalles Bibliográficos

Principais autores:	Mohammad H Alshayeji, Sa’ed Abed
Formato:	Artigo
Idioma:	Inglês
Publicado:	IOP Publishing 2025-01-01
Series:	Machine Learning: Science and Technology
Assuntos:	convolutional neural network heart disease interpretability machine learning tabular modeling
Acceso en liña:	https://doi.org/10.1088/2632-2153/adfd39
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