Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach

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

Downloads

Licence

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

Publication metadata

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

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2019

Volume: 9

Online publication date: 21/11/2019

Acceptance date: 23/10/2019

Date deposited: 11/11/2019

ISSN (electronic): 2045-2322

Publisher: Nature Publishing Group

URL: https://doi.org/10.1038/s41598-019-53656-7

DOI: 10.1038/s41598-019-53656-7

Altmetrics

Altmetrics provided by Altmetric

Funding

Funder referenceFunder name
09/H0906/82
721577
G-1301
J-0802Parkinson`s UK (formerly Parkinson`s Disease Society)
NIHR/Wellcome Trust Clinical Research Facility (CRF)

Share