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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Autori principali:	Meili Yang, Chuxin Wang, Jinying Zhang, Yao Xiao, Yafang Chen, Zeming Guo, Jiayin Wang, Jinzhong Huang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-12-01
Serie:	Frontiers in Neurology
Soggetti:	Parkinson’s disease cognitive impairment prediction machine learning Random Forest outpatient management
Accesso online:	https://www.frontiersin.org/articles/10.3389/fneur.2025.1709386/full
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