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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...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Samuel Booth, Kye Won Park, Chong Sik Lee, Ji Hyun Ko
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Society for Clinical Investigation 2022-10-01
Schriftenreihe:The Journal of Clinical Investigation
Schlagworte:
Online-Zugang:https://doi.org/10.1172/JCI157074
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