Federated and ensemble learning framework with optimized feature selection for heart disease detection

Federated and ensemble learning framework with optimized feature selection for heart disease detection

Predictive models for early identification of heart disease must be precise and efficient because it is a major worldwide health concern. To improve classification performance while protecting data privacy, this study investigated a combined method that uses ensemble learning, feature selection, and...

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Bibliographic Details
Main Authors:	Olfa Hrizi, Karim Gasmi, Abdulrahman Alyami, Adel Alkhalil, Ibrahim Alrashdi, Ali Alqazzaz, Lassaad Ben Ammar, Manel Mrabet, Alameen E.M. Abdalrahman, Samia Yahyaoui
Format:	Article
Language:	English
Published:	AIMS Press 2025-03-01
Series:	AIMS Mathematics
Subjects:	heart disease detection machine learning federated learning feature selection optimization
Online Access:	https://www.aimspress.com/article/doi/10.3934/math.2025334
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