CLASSIFICATION OF NEURODEGENERATIVE DISEASES BASED ON GAIT ANALYSIS

Abstract

This paper describes the profiles of some of the most well-known neurodegenerative diseases. A machine learning model is outlined that could aid in the diagnosis and monitoring of the progression of neurodegenerative diseases. The importance of reduction dimensionality in the process of forming the machine learning model is particularly emphasized. The performances of several standard classifiers are tested to classify neurodegenerative diseases based on gait, which shows the potential to replace regular hospital tests for monitoring disease progression, which can be burdensome for both patients and hospitals.