Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability.
Journal:
Neurosciences (Riyadh, Saudi Arabia)
PMID:
38981634
Abstract
OBJECTIVES: To develop a machine learning model to accurately predict stroke risk based on demographic and clinical data. It also sought to identify the most significant stroke risk factors and determine the optimal machine learning algorithm for stroke prediction.