Evaluation of machine learning algorithms in the early detection of Parkinson's disease: a comparative study
Joselyn Zapata-Paulini,
Michael Cabanillas-Carbonell
Abstract:Parkinson's is a neurodegenerative disease that generally affects people over 60 years of age. The disease destroys neurons and increases the accumulation of α-synuclein in many parts of the brain stem, although at present its causes remain unknown. It is therefore a priority to identify a method that can detect the disease, and this is where machine learning models become important. This study aims to perform a comparative analysis of machine learning models focused on the early detection of Parkinson's disea… Show more
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