A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā To develop an optimized machine-learning model using Random Forest to accurately classify brain stroke risk using clinical, demographic, and physiological data.