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Updated: Jul 18, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Is it possible to identify a population in which the incidence of future development of AIS is greatly increased when
M Metcalfe1, A Rajwani, R Martin
1Division of Anatomy, University of Alberta, Edmonton, Alberta, Canada.
Abstract:
For future research of predictors of AIS, it would be advantageous to identify a general population in which the development of AIS is greatly increased when compared to the normal population. The probability of predicting future development of AIS among younger relatives of current patients based on the probability of AIS incidence was assessed from the research literature. Although there is considerable literature relating to familial relationships of the probability of developing AIS or having AIS, the probability is relatively low in most cases. Even with the best of predicted probabilities, the identification of patients with a high probability of developing AIS remained low. The identification of people among the general population who have a high probability of developing AIS based on the probabilities expressed in the literature is not possible.
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