Machine learning for early detection and severity classification in people with Parkinson’s disease

Machine learning for early detection and severity classification in people with Parkinson’s disease

Abstract Early detection of Parkinson’s disease (PD) and accurate assessment of disease progression are critical for optimizing treatment and rehabilitation. However, there is no consensus on how to effectively detect early-stage PD and classify motor symptom severity using gait analysis. This study...

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Bibliographic Details
Main Authors: Juseon Hwang, Changhong Youm, Hwayoung Park, Bohyun Kim, Hyejin Choi, Sang-Myung Cheon
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Parkinson’s disease
Gait
Severity
Motor symptom
Artificial intelligence
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-83975-3
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https://doi.org/10.1038/s41598-024-83975-3

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