Prediction of Individual Progression Rate in Parkinson's Disease Using Clinical Measures and Biomechanical Measures of Gait and Postural Stability.

Raval, Vyom; Nguyen, Kevin P; Gerald, Ashley; Dewey, Richard B; Montillo, Albert

Raval, Vyom; Nguyen, Kevin P; Gerald, Ashley; Dewey, Richard B; Montillo, Albert.

Afiliação

Raval V; The University of Texas Southwestern Medical Center.
Nguyen KP; The University of Texas at Dallas.
Gerald A; The University of Texas Southwestern Medical Center.
Dewey RB; The University of Texas Southwestern Medical Center.
Montillo A; The University of Texas Southwestern Medical Center.

Proc IEEE Int Conf Acoust Speech Signal Process ; 2020: 1319-1323, 2020 May.

Article em En | MEDLINE | ID: mdl-33708010

Palavras-chave

Biomechanical Measures; Machine Learning; Parkinson's Disease; Prognosis; Progression Rate

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proc IEEE Int Conf Acoust Speech Signal Process Ano de publicação: 2020 Tipo de documento: Article

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