This a project where heart disease is predicted using a novel approach, Clustering Based Support Vector Machine approach i.e; EM-SVM. I have published research articles on this topic and I made it public to help others in creating new machine learning frameworks. To know more about this project, visit the article links provided below.
https://ieeexplore.ieee.org/document/10053739
https://link.springer.com/chapter/10.1007/978-981-99-3932-9_24
M, C.D. and Senapati, R. (2022) “An adoptive heart disease prediction model using machine learning approach,” 2022 OITS International Conference on Information Technology (OCIT).
Available at: https://doi.org/10.1109/ocit56763.2022.00020.
Maddukuri, C.D., Senapati, R. (2024). Hybrid Clustering-Based Fast Support Vector Machine Model for Heart Disease Prediction. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. ICMIB 2023. Lecture Notes in Networks and Systems, vol 728. Springer, Singapore.
Available at: https://doi.org/10.1007/978-981-99-3932-9_24.