Application of Reinforcement-Based Learning Feature Selection for Early Detection of Alzheimer's Disease Using Speech
The early detection of Alzheimer&s;s disease (AD) enables timely intervention methods. Speech-based biomarkers, when combined with advanced machine learning (ML) models and feature selection, provide scalable and promising diagnostic results. In our study, we present a novel speech-based feature selection framework usi...