Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson's Disease Classification Using Machine Learning.

Rehman, Rana Zia Ur; Guan, Yu; Shi, Jian Qing; Alcock, Lisa; Yarnall, Alison J; Rochester, Lynn; Del Din, Silvia

Rehman, Rana Zia Ur; Guan, Yu; Shi, Jian Qing; Alcock, Lisa; Yarnall, Alison J; Rochester, Lynn; Del Din, Silvia.

Afiliação

Rehman RZU; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Guan Y; School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom.
Shi JQ; School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, United Kingdom.
Alcock L; Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China.
Yarnall AJ; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Rochester L; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Del Din S; The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.

Front Aging Neurosci ; 14: 808518, 2022.

Article em En | MEDLINE | ID: mdl-35391750

Palavras-chave

Parkinson's disease; accelerometer; gait; gait aggregation; laboratory; machine learning; real-world; wearables

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Front Aging Neurosci Ano de publicação: 2022 Tipo de documento: Article

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