PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease

Parkinson’s disease (PD) is the most widespread movement condition and second common neurodegenerative disorder, following Alzheimer’s. Movement symptoms imaging techniques are popular ways to diagnose this disease. However, they not accurate fast may only be accessible a few people. This study provides an autonomous system, i.e., PD-ADSV, for diagnosing PD based on voice signals, which uses four machine learning classifiers hard voting ensemble method achieve highest accuracy. PD-ADSV developed using Python Gradio web framework.