An early prediction of cardiovascular stroke using machine learning techniques

Author(s)	Ms. Nisheetha Muthu Karunanidhi, N Prathyusha, K Fizza Gulshan, L. Vijaya Kumar, Prof. M. E.Palanivel
Country	India
Abstract	The main concept of this project is to predict Cardiovascular stoke. Now a days heart stroke has become a major health issue in most of the families. So early detection can reduce the death rates for heart strokes. Early detection is the essential to reduce its impact. Here for early detection Machine Learning algorithms are used. This Machine Learning techniques give an effective and cost-effective solution for prediction of heart disease. To predict cardiovascular stroke models are trained using machine learning algorithms like SVM, KNN and, Random Forest. And here Django framework is used to visualize the predicted results of the models and manage the data storage.
Keywords	Cardiovascular, Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Machine Learning, Django framework, Early detection.
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-08
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.43356
Short DOI	https://doi.org/g9hsbp

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International Journal For Multidisciplinary Research