HEART DISEASE PREDICTION USING MACHINE LEARNING

Mansi Jaiswal, S. S. Sarangdevot

HEART DISEASE PREDICTION USING MACHINE LEARNING

Authors

Mansi Jaiswal, S. S. Sarangdevot

Keywords:

Heart Disease, Machine Learning, Artificial Neural Network (ANN), ECG Images, Early Detection, Rural Healthcare, Medical Diagnosis, Prediction Model, Google Colab, Confusion Matrix, AUC.

Abstract

This research is aimed at finding better ways to detect heart disease early using machine learningmethods. The goal was to create a simple, trustworthy, and efficient prediction system that could help doctors and health workers, especially in rural or low-resource

References

• Agarwal, N. (2024). Predictive modelling for heart disease diagnosis: a comparative study of classifiers. Eai Endorsed Transactions on Pervasive Health and Technology, 10. https://doi.org/10.4108/eetpht.10.5518

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Published

2024-08-05

How to Cite

Mansi Jaiswal, S. S. Sarangdevot. (2024). HEART DISEASE PREDICTION USING MACHINE LEARNING. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 7517–7527. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4727