Longitudinal clustering analysis and prediction of Parkinson's disease progression using radiomics and hybrid machine learning

We employed machine learning approaches to (I) determine distinct progression trajectories in Parkinson's disease (PD) (unsupervised clustering task), and (II) predict progression trajectories (supervised prediction task), from early (years 0 and 1) data, making use of clinical and imaging feat...

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Bibliographic Details

Published in:	Quantitative imaging in medicine and surgery Vol. 12; no. 2; p. 906
Main Authors:	Salmanpour, Mohammad R, Shamsaei, Mojtaba, Hajianfar, Ghasem, Soltanian-Zadeh, Hamid, Rahmim, Arman
Format:	Journal Article
Language:	English
Published:	China 01.02.2022
Subjects:	outcome prediction Parkinson’s disease (PD) hybrid machine learning methods longitudinal clustering
ISSN:	2223-4292
Online Access:	Get more information
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