October 10, 2025

Detection of Vascular Mild Cognitive Impairment in Southeast Asia Using the Visual Cognitive Assessment Test: Machine Learning Analysis From the BIOCIS (Biomarkers and Cognition Study, Singapore) (Preprint)

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Authors

PTPricilia TanotoNanyang Technological University HYH. YeUniversity of Göttingen SSSeyed Ehsan SaffariNational University of Singapore

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Implication

Cross-sectional analysis evaluates the visual cognitive assessment test's effectiveness in detecting vascular mild cognitive impairment, indicating strong performance against MoCA.

Key Points

The visual cognitive assessment test shows near-perfect accuracy in detecting vascular mild cognitive impairment.
At a cutoff of 27, it achieved an area under the receiver operating characteristic curve of 1.00 with sensitivity of 1.00.
Using machine learning techniques like random forest, the study analyzed data from 524 community-dwelling participants.
The findings suggest that the visual cognitive assessment test is a strong candidate to supplement current cognitive assessment tools.

Cite This Study

Tanoto et al. (2025) studied this question.

synapsesocial.com/papers/68e861a57ef2f04ca37e44cd https://doi.org/10.2196/preprints.76847

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Implication

Cross-sectional analysis evaluates the visual cognitive assessment test's effectiveness in detecting vascular mild cognitive impairment, indicating strong performance against MoCA.