Radiomics and Hybrid Models Based on Machine Learning to Predict Levodopa-Induced Dyskinesia of Parkinson’s Disease in the First 6 Years of Levodopa Treatment

Radiomics and Hybrid Models Based on Machine Learning to Predict Levodopa-Induced Dyskinesia of Parkinson’s Disease in the First 6 Years of Levodopa Treatment

Background: Current research on the prediction of movement complications associated with levodopa therapy in Parkinson’s disease (PD) is limited. levodopa-induced dyskinesia (LID) is a movement complication that seriously affects the life quality of PD patients. One-third of PD patients develop LID...

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Bibliographic Details
Main Authors: Yang Luo, Huiqin Chen, Mingzhen Gui
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
Parkinson’s disease
dyskinesias
magnetic resonance imaging
machine learning
levodopa
Online Access:https://www.mdpi.com/2075-4418/13/15/2511

Internet

https://www.mdpi.com/2075-4418/13/15/2511

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