Assessment of features of cognitive functions and the social sphere of children and adolescents using data analysis methods

The paper describes the results of the analysis of population studies among schoolchildren to assess their cognitive functions. The object of research was the cognitive, social, and other characteristics of children and adolescents. Methods of machine learning and statistics were used for data analysis. As a result, dependencies between the social and cognitive parameters of children and school performance were identified. © 2020 CEUR-WS. All rights reserved.

Authors
Molodchnekov A.I. 1, 2 , Namazova-Baranova L.S.3 , Karkashadze G.A.3
Conference proceedings
Publisher
CEUR-WS
Language
English
Pages
246-255
Status
Published
Volume
2790
Year
2020
Organizations
  • 1 Federal Research Center Computer Science and Control of RAS, Russian Federation
  • 2 Peoples Friendship University (RUDN), Russian Federation
  • 3 Central Clinical Hospital of RAS, Russian Federation
Keywords
Artificial intelligence; Cognitive; Machine learning
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76364/
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