Abstract
The basal ganglia consist of the striatum, substantia nigra, and other nuclei, forming various pathways of motor initiation. Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dysfunction of the basal ganglia pathways. Consequently, PD affects the production of speech. An AI model can analyze audio samples from regular and PD patients. A simple deep learning model with various layers, ReLU activation, sigmoid activation, optimizer, loss function, and Early_Stopping can use extracted speech features to classify patients as regular or PD-afflicted with up to 97% accuracy. Overall, the advent of user-friendly artificial intelligence has led to exciting times, with new medical advancements emerging day after day; perhaps the ease of AI implementation will encourage others to solve everyday problems with just a computer and a dream.
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