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Artificial Intelligence-Based Clustering and Characterization of Parkinson’s Disease Trajectories

2022-08-16

Abstract excerpt

Parkinson’s disease (PD) is a highly heterogeneous disease both with respect to arising symptoms and its progression over time. This hampers the design of disease modifying trials for PD as treatments which would potentially show efficacy in specific patient subgroups could be considered ineffective in a heterogeneous trial cohort. Establishing clusters of PD patients based on their progression patterns could help...

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Literature Corpus work
8678e9d0-95cf-54c6-9dc2-479078dbc22b
DOI
10.1101/2022.08.15.22278776
Open publication

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Artificial Intelligence-Based Clustering and Characterization of Parkinson’s Disease TrajectoriesDOI 10.1101/2022.08.15.22278776
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