Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data

Cardiovascular disease (CVD) remains the leading global cause of death, highlighting the urgent need for accurate risk assessment and prediction tools. Machine learning (ML) has emerged as a promising approach for CVD risk prediction, offering the potential to capture complex relationships between...

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Bibliographic Details
Main Authors: Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle
Format: Article
Language:English
Published: College of Engineering of Afe Babalola University, Ado-Ekiti (ABUAD), Ekiti State, Nigeria 2024-04-01
Series:ABUAD Journal of Engineering Research and Development
Subjects:
Online Access:https://journals.abuad.edu.ng/index.php/ajerd/article/view/333
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