Predicting the Risk of Getting a Stroke Using a Machine Learning Tool

Abstract

Stroke has caused a significant number of deaths and chronic illnesses, resulting in substantial government spending. This project aims to determine the risk factors associated with stroke using Machine Learning algorithms such as Support Vector Machine, Decision Tree, Naive Bayes, and Linear Regression to identify the attributes that have the strongest and weakest connection with stroke.