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Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.

, , , , , , , and . Comput. Intell. Neurosci., (2016)

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Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models., , , , , , and . BIBM, page 2288-2295. IEEE, (2019)Gait Characteristics and Their Discriminative Ability in Patients with Fabry Disease with and Without White-Matter Lesions., , , , , , , and . ICCSA (3), volume 12251 of Lecture Notes in Computer Science, page 415-428. Springer, (2020)Analysis of postural kinetics data using Artificial Neural Networks in Alzheimer's Disease., , , , , , and . MeMeA, page 108-113. IEEE, (2014)Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization., , , , , and . ICoMS, page 103-107. ACM, (2023)A Self-Tunable Dynamic Vibration Absorber: Analysis, Modulation and Simulation for Parkinsonian Tremors., , , and . UKSim, page 95-100. IEEE, (2013)Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease., , , , , , , and . Comput. Intell. Neurosci., (2016)Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait., , , , , , , , , and . BIBM, page 2024-2030. IEEE Computer Society, (2018)