Review on AI-Based Diagnosis of Parkinson's Disorders

Abstract

Parkinson's disease is a neurological condition that progressively damages both the motor and non-motor portions of the brain. It's crucial to remember that Parkinson's disease (PD) still has no treatment, despite the fact that medical science has advanced quickly over time.With the aid of machine learning techniques, this work aims to give a detailed analysis of the use of artificial intelligence in kinematic analysis of PD. The search included articles discussing the application of ML algorithms for Parkinson Disease diagnosis and assessment utilizing data representing mobility in the upper and lower extremities. This work is based on a number of publicly available papers. There is a thorough discussion of the available datasets and their varied features. A complete overview of the current algorithms, methods, and approaches that make use of various datasets is also offered, along with information on how they have affected the development of newer research directions. Early diagnosis and supporting rehabilitation are the most important advantages.