Neurovascular Crisis Prediction

This project focuses on the development of a machine learning model for the early prediction of neurovascular crises, commonly known as strokes. A Stroke is a health condition that causes damage by tearing the blood vessels in the brain. It can also occur when there is a halt in the blood flow and other nutrients to the brain. According to the World Health Organization (WHO), stroke is the leading cause of death and disability globally. Most of the work has been carried out on the prediction of heart stroke but very few works show the risk of a brain stroke. With this thought, various machine learning models are built to predict the possibility of stroke in the brain. 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. Aim is to create an application with a user friendly interface which is easy to navigate and enter inputs.