Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/140265
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Type: Conference item
Title: Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers
Author: McNamara, A.
Ellul, B.
Baetu, I.-I.
Lau, S.
Jenkinson, M.
Collins-Praino, L.
Citation: Journal of Parkinson's Disease, 2023, vol.13, iss.Suppl. 1, pp.268-269
Publisher: IOS Press
Issue Date: 2023
ISSN: 1877-7171
1877-718X
Conference Name: 6th World Parkinson Congress (4 Jul 2023 - 7 Jul 2023 : Barcelona, Spain)
Statement of
Responsibility: 
Angus McNamara, Benjamin Ellul, Dr Irina Baetu, Dr Stephan Lau, Professor Mark Jenkinson, Lyndsey Collins- Praino
Abstract: Abstract not available
Description: Abstract #P34.11
Rights: From 2023 the journal will proceed as an open access publication, where all articles from the 2023 volume onwards will be openly available. The standard license under which articles are published is CC BY-NC 4.0 (open access non-commercial).
DOI: 10.3233/jpd-2399900
Published version: https://content.iospress.com/download/journal-of-parkinsons-disease/jpd2399900?id=journal-of-parkinsons-disease/jpd2399900&supplementaryFilename=jpd-13-jpd2399900-s001.zip
Appears in Collections:Anatomical Sciences publications
Australian Institute for Machine Learning publications

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