Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets

Improving Cardiovascular Disease Prediction through Stratified Machine Learning Models and Combined Datasets

The global rise in cardiovascular disease (CVD) cases underscores the critical need for accurate and early diagnostic solutions. This study introduces a robust machine learning (ML) framework for predicting CVD risk by integrating two large, feature-identical datasets containing clinical and biologi...

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Bibliographic Details
Main Authors: Tara Yousif Mawlood, Alla Ahmad Hassan, Rebwar Khalid Muhammed, Aso M. Aladdin, Tarik A. Rashid, Bryar A. Hassan
Format: Article
Language:English
Published: University of Human Development 2025-06-01
Series:UHD Journal of Science and Technology
Subjects:
cardiovascular disease
gradient boosting
heart disease
k-nearest neighbors
logistic regression
naive bayes
support vector machine
Online Access:https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1447
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https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1447

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