Stroke Prediction System Using Machine Learning Algorithm

Abstract

Stroke is one of the heart diseases and is very dangerous to very much people in the world as it is the world’s third-largest disease which is causing death to the people in this world. This is a very big health issue in the world and is addressed by the World Health Organization (WHO) and can be seen from the statistics that have been provided by the organization and is very much approved by the other organizations too. The symptoms that are shown by the patients who are suffering from the stroke disease or which are very much prone to the stroke disease and may suffer from a very chronic stroke disease show heart disease, declination of metabolism and problems in the artilleries. The main issue due to which this problem is occurring is due to the flow of the blood, which is not able to reach the part of the heart through which the cleaning of the blood takes place or in other words the carbon dioxide is taken out of the blood and the oxygen is given which purifies the blood and is sent to the other body parts. In this medical industry, there are many machine learning and deep learning methods that are incorporated by the research community and different novelties have been researched by the community. By the method proposed, we could mitigate the strokes occurring by approximately 96% of the items from the data received from the patient.