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What is Heart Disease Prediction Using ML Techniques about?

This paper aims to predict heart disease using various machine learning algorithms on a heart disease dataset from a public repository. It first describes heart disease and the need for early detection. It then outlines the methodology, including data collection and preprocessing, and application of logistic regression, naive bayes, k-nearest neighbors, support vector machines, decision trees, and random forest algorithms. The results show that k-nearest neighbors achieved the highest accuracy of 90.16% whi

Author

Rony saha

Language

EN