Algorithm for automated technology prediction of the risk of chronic somatic pathology in adolescents
A total of 150 Novosibirsk adolescents aged 15 to 17 years of both sexes (75 boys and 75 girls) were examined. The aim of the study was to identify the likely predictors of chronic somatic pathology in 15-17-year-old adolescents according to the data of a comprehensive survey involving the evaluatio...
Main Authors: | , , , , |
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Format: | Article |
Language: | Russian |
Published: |
Ltd. “The National Academy of Pediatric Science and Innovation”
2016-03-01
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Series: | Rossijskij Vestnik Perinatologii i Pediatrii |
Subjects: | |
Online Access: | https://www.ped-perinatology.ru/jour/article/view/122 |