Machine learning models for the prediction of levodopa response to tremor in Parkinson’s disease
The SVM model, incorporating six key indicators, holds significant potential for predicting levodopa responsiveness in PD tremor, offering a valuable tool for the precise treatment of tremor in PD patients.
Authors
- Shinuan Lin
- Rui Yan (ORCID: https://orcid.org/0000-0003-1181-3595)
- Lingyan Ma
- Y. L. Cui
- Zhonglue Chen
- Tao Feng
- Fangfei Li
- Kang Ren
Institutions
- Capital Medical University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fnagi.2025.1690155
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China