Investigation of Machine Learning Methods for Stroke Prediction

Abstract

This article discusses methods for predicting stroke. It has been shown that there are different methods for solving the problem. The article presents a description of the developed model for predicting the likelihood of stroke. The system allows for a quick diagnosis of this disease based on a small number of input parameters. Several methods for implementing machine learning have been considered. The method of support vectors SVM (Support Vector Machine) was taken as a basis.