Author(s) :

S. Anusha Rani.

Volume/Issue :

Abstract :

Cardiovascular disease is one of the most prevalent causes of death worldwide, and early detection is crucial to prevent additional deaths and to increase survival rates. Conventional diagnosis by examining electrocardiograms( ECG), blood and clinical approach is time-consuming and expensive methods, which are prone to human error. A Heart Disease Prediction System leveraging various Machine Learning algorithms including Logistic Regression and Support Vector Machine predicts patient risk pretty accurately.

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