Hybrid preprocessing and ensemble classification for enhanced detection of Parkinson's disease using multiple speech signal databases

Our findings confirm the feasibility of an ensemble-based approach for PD detection using acoustic recordings, highlighting the importance of dataset-specific preprocessing strategies. This study ranks impactful PD-related acoustic features, offering guidance for future voice-based PD screening tools.