International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 187 - Number 41 |
Year of Publication: 2025 |
Authors: Ame´de´e W. Dera, Ferdinand T. Guinko |
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Ame´de´e W. Dera, Ferdinand T. Guinko . Big Data Analytics in Healthcare: Machine Learning-based Cardiac Disease Prediction in West Africa. International Journal of Computer Applications. 187, 41 ( Sep 2025), 6-12. DOI=10.5120/ijca2025925718
This paper investigates the application of machine learning for cardiac disease prediction in resource-constrained healthcare settings. This study conducts an empirical study evaluating four classification algorithms (Support Vector Machine, Random Forest, Logistic Regression, Decision Tree) on a real-world dataset. The results demonstrate that SVM achieves the highest accuracy (91%) in identifying high-risk patients, highlighting its potential for clinical decision support. The study provides a detailed comparative analysis of model performance, discusses computational feasibility, and outlines practical deployment considerations. These findings contribute to the advancement of machine learning applications in African healthcare systems.