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Using gait analysis' parameters to classify Parkinsonism: A data mining approach., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2019)Indices of Symbolic Dynamic Distribution in Cardiac Patients., , , , and . CinC, page 437-440. www.cinc.org, (2013)Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation., , , , , and . MetroXRAINE, page 346-351. IEEE, (2022)The impact of ankle-foot orthosis on walking features of drop foot patients., , , , , , and . MetroXRAINE, page 87-92. IEEE, (2022)Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments., , , , , and . MeMeA, page 1-5. IEEE, (2021)Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients., , , , , and . MeMeA, page 1-5. IEEE, (2021)Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH., , , , , , and . MeMeA, page 1-6. IEEE, (2022)Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study., , , , , , and . MeMeA, page 1-6. IEEE, (2022)Reproducibility of kinematics indexes of upper arm reaching movement in robot assisted therapy., , , , , and . MeMeA, page 1-4. IEEE, (2012)Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children., , , , , and . MeMeA, page 1-5. IEEE, (2020)