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Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson's Disease., , , , , , , , , and . MeMeA, page 1-6. IEEE, (2020)Using gait analysis' parameters to classify Parkinsonism: A data mining approach., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2019)Classifying patients affected by Parkinson's disease into freezers or non-freezers through machine learning., , , , , , , and . MeMeA, page 1-6. IEEE, (2020)Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson's Disease., , , , , , and . Sensors, 23 (4): 1985 (February 2023)A Cluster Analysis for Parkinson's Disease Phenotyping with Gait Parameters., , , , , , and . MetroXRAINE, page 882-887. IEEE, (2023)Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy., , , , , , , , and . Sensors, 23 (24): 9859 (December 2023)Performing a short sway to distinguish Parkinsonisms., , , , , , , , , and . MetroXRAINE, page 340-345. IEEE, (2022)A quantitative analysis of muscular co-activation on EMG signals in spastic patients treated with Botulinum toxin., , , , , , , , and . MeMeA, page 1-6. IEEE, (2020)