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Updated: Apr 16, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
A Simple Tool to Reach Populations at Risk for Developing Dementia and Alzheimer's Disease
Noa Bregman1, Keren Regev1, Orna Moore1
1Memory and Attention Disorders Center, Tel Aviv "Sourasky" Medical Center, Tel Aviv, Israel.
Abstract:
Identification of individuals at high risk for developing dementia and Alzheimer's disease is a major challenge. A "memory fair" is an enjoyable and affordable tool designed to reach local population at risk, mainly those with subjective cognitive impairment (SCI) or mild cognitive impairment. The fair included a free cognitive assessment and presentation on the importance of sleep, physical activity, cognitive training, and risk-factors and provided personalized recommendations. 160 individuals completed the evaluation (69.97 ± 9.01 y, 83% women). Average Montreal Cognitive Assessment Score (MoCA) was 24.73 ± 3.71. Six percent reported SCI and an upper estimate of mild cognitive impairment prevalence was 30.7% . SCI was found to be a sensitive predictor for MoCA <26.
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