STROKE PREDICTION USING MACHINE LEARNING ALGORITHMS

Abstract

Stroke is a destructive illness that typically influences individuals over the age of 65 years age. Prediction of stroke is a time consuming and tedious for doctors. Therefore, the project mainly aims at predicting the chances of occurrence of stroke using the emerging Machine Learning techniques. Five different algorithms are used and a comparison is made for better accuracy. Aim is to create an application with a userfriendly interface which is easy to navigate and enter inputs.