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Digital Health Reviews (3660) Clinical Informatics (2264) Neurology and Neurosciences (384) Dementia and Cognitive Decline (878) Cognitive and Neurorehabilitation (438) Machine Learning (3167) Aging with Chronic Disease (533) Chronic Conditions (556)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59649, first published .
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The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis

The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis

Authors of this article:

Yanyun Wu1 Author Orcid Image ;   Yangfan Cheng1 Author Orcid Image ;   Yi Xiao1 Author Orcid Image ;   Huifang Shang1 Author Orcid Image ;   Ruwei Ou1 Author Orcid Image
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  1. He Z, Ma H, Zhang Y, Chen L, Pang Y, Ding X, Wang Y, Liu Y, Li L, Li J. Identification of Npas4 as a biomarker for CICI by transcriptomics combined with bioinformatics and machine learning approaches. Experimental Neurology 2025;391:115290 View
  2. Wang J, Chen Y, Xie X, Wang P, Hu H, Han H, Wang L, Zhang L. Diagnostic classification of mild cognitive impairment in Parkinson's disease using subject-level stratified machine-learning analysis. Frontiers in Aging Neuroscience 2025;17 View
  3. Ke L, Li Y, Jiang S, Zhao L. Developing and validating a clinically actionable prediction tool for Parkinson disease using explainable machine learning with multidimensional national data: A cross-sectional study. Medicine 2026;105(12):e47983 View
  4. Nithya S, Shanmugavadivu P, Natarajan T. Progressive Transition of AI-Driven Models for Parkinson’s Disease Prediction: A Systematic Literature Review. Archives of Computational Methods in Engineering 2026 View
  5. Terry M, Birkholz S, Johnson J, Lou J, Huether A, Keller J, Alvarez-Vazquez E. A Comparison of Machine Learning Models for Classification of Parkinson’s Disease During a Working Memory and Sustained Attention Task. Brain Sciences 2026;16(8):781 View

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