Brain Stroke Detection using Machine Learning | Brain Disease Detection using Deep Learning

Hey there, welcome to our Blog, A brain stroke, also known as a cerebrovascular accident (CVA), is a medical condition that occurs when there is a disruption in the blood supply to the brain. This disruption can be caused by either a blockage (ischemic stroke) or a rupture (hemorrhagic stroke) of blood vessels in the brain.

1.Ischemic Stroke: This type of stroke occurs when a blood clot or plaque buildup narrows or blocks a blood vessel in the brain, reducing or cutting off blood flow to a certain area. The lack of blood flow deprives brain cells of oxygen and nutrients, leading to cell death in that region. Ischemic strokes are the most common type, accounting for about 85% of all strokes.

2.Hemorrhagic Stroke: This type of stroke happens when a blood vessel in the brain ruptures and causes bleeding into or around the brain. The bleeding puts pressure on brain tissues and can damage or kill brain cells. Hemorrhagic strokes are less common but tend to be more severe and have a higher risk of complications.
Symptoms of a stroke can vary depending on the area of the brain affected, but common signs include sudden:

1.Numbness or weakness in the face, arm, or leg, especially on one side of the body
2.Confusion, trouble speaking, or difficulty understanding speech
3.Trouble seeing in one or both eyes
4.Severe headache with no apparent cause
5.Dizziness, loss of balance, or trouble walking

Brain Stroke Detection using Machine Learning | Brain Stroke Classification using Machine Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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