Machine learning models for the prediction of levodopa response to tremor in Parkinson’s disease

ObjectivesTo develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients.MethodsA total of 197 PD tremor patients underwent Levodopa Challenge Tests and were classified as having levodopa-responsive or levodopa-resistant tremor. Clin...

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Principais autores:	Fangfei Li, Shinuan Lin, Rui Yan, Yusha Cui, Kang Ren, Zhonglue Chen, Lingyan Ma, Tao Feng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-01-01
Colecção:	Frontiers in Aging Neuroscience
Assuntos:	Parkinson’s disease machine learning levodopa responsiveness tremor support vector machine validation
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fnagi.2025.1690155/full
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