Parkinson's Disease Detection Using Machine Learning: Review

Parkinson's disease (PD) is a neurological condition marked by a gradual decline in mental and motor skills. For prompt intervention and better patient care, a rapid and correct diagnosis of PD is essential. Machine learning (ML) has become a potent technique for the early identification and diagnosis of Parkinson's disease in recent years. The state-of-theart ML methods utilized for PD detection are thoroughly reviewed in this review paper, with an emphasis on their advantages, disadvantages, and possible uses.