#machine learning
May 2026
CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support
This work introduces CASCADE (Calibrated Adaptive Scaling via Conformal And Distributional Estimation), a novel conformal prediction framework that propagates epistemic uncertainty from a screening classifier to adapt downstream predictions and achieves continuous risk adaptation.
Ricardo Diaz-Rincon, Mu-Xuan Liang, A. Ramirez-Zamora et al.
· arXiv.org · 0 citations