A Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Clinical Features

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{204949,
        author = {Ms. Dhanashri Dnyandeo Shinde and Dr Ganesh Gorakhnath Taware},
        title = {A Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Clinical Features},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4578-4589},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204949},
        abstract = {},
        keywords = {cardiovascular disease prediction, machine learning, random forest, feature selection, clinical decision support, preventive healthcare},
        month = {June},
        }

Cite This Article

Shinde, M. D. D., & Taware, D. G. G. (2026). A Machine Learning Approach for Cardiovascular Disease Risk Prediction Using Clinical Features. International Journal of Innovative Research in Technology (IJIRT), 13(1), 4578–4589.

Related Articles