A simple and efficient model to predict the risk of brain stroke based on certain parameters like age, hypertension, glucose level, smoking status, BMI, etc., The ML model developed uses Logistic ...

This research focuses on binary classification outcomes, with logistic regression emerging as a potential solution to address the challenges of stroke prediction in healthcare. By emphasizing ...

Predicting brain stroke by using general factors or details like gender,age,bp,place(rural,urban),work type,stroke occurance,etc.... By taking into consideration of these factors,we will predict ...