Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data

Leveraging fuzzy embedded wavelet neural network with multi-criteria decision-making approach for coronary artery disease prediction using biomedical data

Abstract Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth. Prompt risk prediction of CAD would be capable of decreasing the death rat...

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Bibliographic Details
Main Authors: Mahmoud Ragab, Sami Saeed Binyamin, Wajdi Alghamdi, Turki Althaqafi, Fatmah Yousef Assiri, Mohammed Khaled Al-Hanawi, Abdullah AL-Malaise AL-Ghamdi
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Fuzzy wavelet neural network
Coronary artery disease
Biomedical Data
Feature selection
Hyperparameter tuning
Multi-criteria decision making
Online Access:https://doi.org/10.1038/s41598-024-82019-0

Internet

https://doi.org/10.1038/s41598-024-82019-0

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