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

Marcus Vance • • 1 min read
Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson’s Disease Classification Using Machine Learning - ePrints

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

Lookup NU author(s): Dr Rana RehmanORCiD, Dr Yu GuanORCiD, Dr Jian Shi, Dr Lisa AlcockORCiD, Professor Alison Yarnall, Professor Lynn RochesterORCiD, Dr Silvia Del DinORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Rehman RZU, Guan Y, Shi JQ, Alcock L, Yarnall AJ, Rochester L, Del Din S

Publication type: Article

Publication status: Published

Journal: Frontiers in Aging Neuroscience

Year: 2022

Volume: 14

Online publication date: 22/03/2022

Acceptance date: 14/02/2022

Date deposited: 22/03/2022

ISSN (electronic): 1663-4365

Publisher: Frontiers Media SA

URL:

DOI: 10.3389/fnagi.2022.808518

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Funding

Funder referenceFunder name
721577
G-1301
J-0802Parkinson`s UK (formerly Parkinson`s Disease Society)

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Marcus Vance

Marcus Vance is a cybersecurity auditor and technology writer dedicated to educating the public about online safety, data privacy regulations, enterprise security, and emerging cyber threats.