International Research Journal of Education and Technology

Stroke is a leading cause of long-term disability and mortality worldwide. It occurs when the blood supply to the brain is disrupted, leading to brain cell death and subsequent loss of function. The management of stroke patients requires timely diagnosis, accurate monitoring, and personalized rehabilitation strategies. With advancements in technology, embedded machine learning has emerged as a promising tool in the field of stroke management. This article explores the applications of embedded machine learning in stroke patients and its potential to revolutionize stroke care.