A Hybrid Ensemble Framework for Reliable and Interpretable Parkinson’s Disease Prediction Using Clinical Tabular Data
Parkinson’s disease (PD) prediction in clinical tabular data is challenging due to feature interactions and data imbalance. The current methods put emphasis on either predictive performance or interpretability in a unified way. This paper presents a comparative hybrid learning framework that evaluates conventional mach...