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October 17, 2025BMC Medical Informatics and Decision Making0 citationsOpen Access

Machine Learning Tool for Stratifying Mild Cognitive Impairment in Parkinson's Disease

Machine learning-based stratification of mild cognitive impairment in Parkinson’s disease: a multicenter cross-sectional analysis

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Authors

YLYanfang LiuMCMeiling ChenPCPeng Chen

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Overview

Cross-sectional analysis demonstrates machine learning can estimate mild cognitive impairment in Parkinson's disease, highlighting the importance of timely evaluations.

Key Points

  • The analysis found that 21.2% of participants had mild cognitive impairment based on MoCA criteria.
  • Logistic regression provided the best performance with an AUC of 0.772 in the external validation cohort.
  • The study employed machine learning methods on data from 799 Parkinson's disease participants to identify predictors of cognitive impairment.
  • The nomogram and bilingual calculator enable better risk stratification, especially prioritizing MoCA-normal patients.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68f25c913dc7eb0776cbc0d9https://doi.org/10.1186/s12911-025-03215-0
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