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Updated: Jun 7, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[CORRELATION OF COGNITIVE IMPAIRMENT WITH PHYSICAL AND PSYCHOLOGICAL HEALTH IN VARIOUS DEMOGRAPHIC GROUPS]
1Research Institute of Health Care Organization and Medical Management of the Moscow Health Care Department, 115088, Moscow, Russia, goldenfish3000@gmail.com.
Abstract:
Within the framework of this study, the correlation of cognitive impairment with physical and psychological health in various demographic groups was studied. The analysis is based on data collected through a survey of 320 participants, which allowed us to assess the impact of age and gender differences on cognitive functions. A comprehensive approach was applied, including a decision tree and a random forest to identify key predictors of disorders, as well as correlation and regression analysis methods to determine statistically significant links between cognitive functions and other variables such as physical activity level and psychological state. It has been found that physical limitations and psychological conditions such as anxiety and depression have a significant impact on cognitive abilities.
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