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Updated: Sep 15, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A Prototype Rapid Tool to Enhance Detection of Dementia for Aboriginal and Torres Strait Islander Peoples in Primary
Huong X T Nguyen1, Zoë Hyde1,2,3, Kate Smith3
1Department of Medicine - Royal Melbourne Hospital, The University of Melbourne, Melbourne, Australia.
Introduction:
Dementia is prevalent within Aboriginal and Torres Strait Islander communities but clients attending primary care often remain undiagnosed. This project aimed to develop a rapid dementia screen for primary care.
Methods:
Logistic regression was used to identify candidate items from the Kimberley Indigenous Cognitive Assessment (KICA-Cog). The psychometric properties of different scales were assessed using receiver operating characteristic curve analysis and validated in a separate cohort.
Results:
Four items in the KICA-Cog demonstrated high sensitivity (82.6%), specificity (83.2%) and area under the curve (AUC = 0.90; 95% CI: 0.87-0.94) for dementia at a cut-off point of 7/8 out of 10. This scale has favourable psychometrics (sensitivity 87.5%, specificity 80.9%, AUC = 0.92; 95% CI: 0.85-0.98) when validated in separate cohort.
Discussion:
The proposed prototype tool, ready for community piloting and validation, may be useful in primary care to enable rapid cognitive screening as part of routine health care.
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