Prediction on Brain Stroke Using Machine Learning Techniques
摘要
The brain is a vital part of the body that controls its functions. But it is at risk of damage from a condition called a stroke. This happens when a blood vessel breaks and hurts the brain. The stopping of the flow of blood and nutrients may lead to different signs and problems which make it a severe medical condition having long-term effects on the brain or maybe causing death altogether. There are two main kinds of strokes—ischemic embolic and hemorrhagic. Ischemic embolic stroke is caused by clots formed in other parts of the body moving through the bloodstream until they get stuck in narrower arteries in the brain. On the other hand hemorrhagic stroke occurs after an artery within the brain bursts and starts bleeding. Stroke is one of the most fatal illnesses among people over 65 years old; additionally being second highest global leading cause of death. It can bring about death, significant medical bills or disability for life if not taken care of immediately. Just as heart attacks damage hearts so do they brains get affected by strokes too. According to WHO (World health organization), worldwide approximately every year fifteen million people have new cases while five million die because their bodies stop functioning properly due consequences following suit after being attacked by this disease which kills but does not discriminate against who must die first based solely on age race gender location time period etcetera; henceforth making sure one recognizes what time it is thus being able try preventing oneself falling victim unto such conditions whose occurrence might have been lessened had certain things been foreseen in advance. When symptoms are recognized early enough but up 80% could have been averted therefore this research seeks anticipate at premorbid stage whereby its purpose shall be find or predict occurrence so that severity may be curtailed through mitigation measures before they become irreversible.