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Updated: Jun 25, 2026
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Clock Drawing Test--Modified and Integrated Approach (CDT-MIA) as an instrument for detecting mild cognitive
Jeremia Heinik1, Dimitri Shaikewitz
1Margoletz Psychogeriatric Center, Ichilov Hospital, Tel Aviv 64239, Israel. heinik@post.tau.ac.il
Abstract:
This study examined the accuracy of the Clock Drawing Test--Modified and Integrated Approach (CDT-MIA) alone and combined with the Mini-Mental State Examination (MMSE) to detect Mild Cognitive Impairment (MCI) in patients with suspected MCI. For comparison, the accuracy of the Cambridge Cognitive Examination-Revised (CAMCOG-R) was tested. A total of 65 elderly outpatients with suspected MCI underwent a comprehensive evaluation. Following assessment, the entire sample was classified into: dementia (mild)--24 participants, MCI--22 participants, no cognitive impairment (NCI)--19 participants. CDT-MIA and the MMSE alone failed to appropriately discriminate demented from nondemented (MCI and NCI) and MCI from NCI. The best acceptable diagnostic accuracy to discriminate between demented and nondemented was obtained with CDT-MIA/MMSE combined and with CAMCOG-R. CDT-MIA/MMSE combined failed to appropriately discriminate MCI from NCI. The best diagnostic accuracy in this regard was obtained with CAMCOG-R.
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