Abstract: Abstract The use of machine learning techniques for early diseases diagnosis has attracted the attention of scholars worldwide. Parkinson’s Disease (PD) is one of the most common neurological and complicated diseases affecting the central nervous system. Unified Parkinson’s Disease Rating Scale (UPDRS) is widely used for tracking PD symptom progression. Motor- and Total-UPDRS are two important clinical scales of PD. The aim of this study is to predict UPDRS scores through analyzing the speech signal properties which is important in PD diagn...
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Topics: 
Artificial intelligence
Machine learning