A Stroke Risk Detection: Improving Hybrid Feature Selection Method

Abstract

This study has proposed, developed, and evaluated a new feature selection method for identifying the most important features for building effective and parsimonious models for stroke risk detection. The findings of this research provide several novel research contributions and practical implications.