Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/59649, first published
.
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
Journals
- 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
- 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
- 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
Books/Policy Documents
- Dutta T, Chanda S, Deb D. Advanced Computational and Communication Paradigms. View