Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data

Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data

Abstract Background Classifying and predicting Parkinson's disease (PD) is challenging because of its diverse subtypes based on severity levels. Currently, identifying objective biomarkers associated with disease severity that can distinguish PD subtypes in clinical trials is necessary. This st...

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Bibliographic Details
Main Authors: Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Parkinson's disease
Severity subtype
Multimodal data
Machine learning
Clustering
Digital biomarker
Online Access:https://doi.org/10.1186/s12984-025-01648-2
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https://doi.org/10.1186/s12984-025-01648-2

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