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.

Авторы
Molodchnekov A.I. 1, 2 , Namazova-Baranova L.S.3 , Karkashadze G.A.3
Сборник материалов конференции
Издательство
CEUR-WS
Язык
Английский
Страницы
246-255
Статус
Опубликовано
Том
2790
Год
2020
Организации
  • 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
Ключевые слова
Artificial intelligence; Cognitive; Machine learning
Дата создания
16.12.2021
Дата изменения
16.12.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/76364/
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