Prediction of individual progression rate in Parkinson’s disease using clinical measures and biomechanical measures of gait and postural stability

Publication Year: 2020

Journal: IEEE

Author(s): Raval; Nguyen; Gerald; Dewey; Montillo

Source: https://doi.org/10.1109/ICASSP40776.2020.9054666

Indication: Parkinson’s Disease

Therapeutic Area: Neuroscience

Keywords: Prognosis; Machine learning; Biomechanical measures; Progression rate; PD

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