Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models

Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models

IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-spec...

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Bibliographic Details
Main Authors: Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Psychiatry
Subjects:
Parkinson’s disease
PD heterogeneity
PD subtypes
APOE genotype
clustering algorithm
machine learning models
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1453852/full
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