Open access
Sep 2026
Explainable ensemble learning framework with recursive feature elimination for lung cancer stage prediction using demographic and lifestyle parameters
The proposed explainable ensemble learning framework provides accurate, robust, and interpretable lung cancer stage prediction through the integration of leakage-free model development, optimized ensemble learning, explainable artificial intelligence, statistical validation, and component-wise ablation analysis.
M. Alfuraydan, Shahid Mohammad Ganie, Ehab Seedahmed et al.
· Discover Computing · 0 citations