Machine Learning-Based Automated Stroke Prediction: An Explanatory and Investigative Study Using a Web Application for Prevention

Abstract

Stroke represents a massive
international hazard, with profound fitness and
financial consequences, Cerebral blood flow is
obstructed, leading to neurological impairments.
The green prediction systems stress the
importance of stroke in persons who are at risk of
having one, especially in older people who are
getting older. This study addresses the challenges
of ironing by enhancing future automated
algorithms. These algorithms need to make it
easier to intervene early, and they will definitely
save lives by predicting strokes.