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Updated: Jun 24, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Screening for Alzheimer's dementia at age 78 with short psychometric instruments
S Jungwirth1, S Zehetmayer, P Bauer
1Ludwig Boltzmann Institute of Aging Research, Vienna, Austria. Susanne.Jungwirth@wienkav.at
Background:
To date, no single instrument has proved to be adequate for screening for Alzheimer's dementia (AD). The aim of this study was to identify a combination of instruments which were highly sensitive for screening late onset AD.
Methods:
Subjects were drawn from the Vienna TransDanube Aging (VITA) study. This is an interdisciplinary, longitudinal community-based cohort study of the 21st and 22nd district of Vienna (Austria). Data refer to the cohort of 478 individuals at age 78 who took part in the first follow-up investigation of the VITA study. The psychometric instruments which were investigated were: the Ten-Point Clock Test, the Human-Figure Drawing Test, a Delayed Selective Reminding Test, Naming, the Trail Making Test-B, and Verbal Fluency. Further instruments were the Pocket Smell Test, and Subjective Memory Complaints. Data were analyzed using logistic regression analyses and cross validation.
Results:
A combination of the Delayed Selective Reminding Test and Verbal Fluency was best for screening AD (R2 = 0.38, main model). An area under the ROC curve of 0.829 was reached. This model discriminated between subjects with incident AD and subjects who did not have incident AD with a sensitivity of 91% and a specificity of 56%.
Conclusion:
The combination of an episodic memory test and a test of verbal fluency was an effective way of screening for AD.
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