Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery
Rajib Mia,
Shapla Khanam,
Amira Mahjabeen
et al.
Abstract:Cerebral strokes, the abrupt cessation of blood flow to the brain, lead to a cascade of events, resulting in cellular damage due to oxygen and nutrient deprivation. Contemporary lifestyle factors, including high glucose levels, heart disease, obesity, and diabetes, heighten the risk of stroke. This research investigates the application of robust machine learning (ML) algorithms, including logistic regression (LR), random forest (RF), and K-nearest neighbor (KNN), to the prediction of cerebral strokes. Stroke d… Show more
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