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Predicting cognitive decline in Parkinson’s disease using FDG-PET–based supervised learning

Background Cognitive impairment is a common symptom of Parkinson’s disease (PD) that increases in risk and severity as the disease progresses. An accurate prediction of the risk of progression from the mild cognitive impairment (MCI) stage to the dementia (PDD) stage is an unmet clinical need.Method...

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Principais autores: Samuel Booth, Kye Won Park, Chong Sik Lee, Ji Hyun Ko
Formato: Artigo
Idioma:Inglês
Publicado em: American Society for Clinical Investigation 2022-10-01
coleção:The Journal of Clinical Investigation
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Acesso em linha:https://doi.org/10.1172/JCI157074
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