Brain Stroke Prediction Using Machine Learning Techniques

Abstract

In a human life there are alot of life-threatening consequences, one among those dangerous situations is having a brain stroke. When part of the brain does not receive sufficient blood flow for functioning a brain stroke strikes a person. This is most often due to a blockage in an artery or bleeding in the brain. When brain cells are deprived of oxygen for an extended period of time, they die. If enough brain cells in this area die, the damage becomes irreversible and you may lose the ability you once had control over. However, restoring blood flow can prevent or at least limit the severity of this type of damage. Therefore, stroke treatment is time-critical. Different areas of the brain control different abilities hence the symptoms for a brain stroke are not constant for everyone. The brain stroke is what a heart attack does to the heart is what a stroke does to the brain. When a stroke occurs, part of the brain loses its blood supply, leaving that area of the brain without oxygen. Without oxygen, the affected brain cells are starved of oxygen and stop functioning normally. Strokes are very common. Stroke is the second leading cause of death worldwide. This paper is based on the prediction of brain stroke using machine learning algorithms which helps to rehabilitate the patient so that one can gain their life back to normal.

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