Predicting cognitive impairment in Parkinson’s disease: a machine learning approach based on clinical and neuropsychological data

BackgroundCognitive impairment is a common and disabling non-motor symptom of Parkinson’s disease, markedly diminishing quality of life and elevating caregiver burden. Although considerable research has been conducted, the early prediction of cognitive impairment remains challenging owing to heterog...

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Bibliografische Detailangaben

Hauptverfasser:	Meili Yang, Chuxin Wang, Jinying Zhang, Yao Xiao, Yafang Chen, Zeming Guo, Jiayin Wang, Jinzhong Huang
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-12-01
Schriftenreihe:	Frontiers in Neurology
Schlagworte:	Parkinson’s disease cognitive impairment prediction machine learning Random Forest outpatient management
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fneur.2025.1709386/full
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