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Updated: Jun 3, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[A follow-up study on cognitive changes of mild cognitive impairment in the elderly]
Zhong-Bao Gao1, Wei Wang, Xing-Li Zhao
1Department of Neurology of Nanlou Division, Chinese PLA General Hospital, Beijing 100853, China.
Objective:
To observe and assess the cognitive changes of mild cognitive impairment (MCI) in the elderly.
Methods:
A cohort study design was conducted among 47 patients with MCI and 21 control selected from the same convalescent camp, Montreal cognitive assessment (MoCA), mini mental state examination (MMSE) and clock drawing test (CDT) were performed to all subjects at the onset of study and 12 months later.
Results:
The score of MMSE, CDT, MoCA and its subitems including visuospatial skill and delayed recall of MCI group were lower than the baseline after 12 months, with significantly decline in the score of MoCA (P = 0.041) and delay recall (P = 0.003). There was no obvious difference in the score of control between the baseline and that after 12 months.
Conclusion:
The decline of delayed recall occurred early and significantly, which may be a predictor in the conversion of mild cognitive impairment to dementia.
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