Rossijskij Vestnik Perinatologii i Pediatrii (Mar 2016)

Algorithm for automated technology prediction of the risk of chronic somatic pathology in adolescents

  • E. P. Timofeeva,
  • T. I. Ryabichenko,
  • G. A. Skosyreva,
  • T. V. Kartseva,
  • I. M. Mitrofanov

Journal volume & issue
Vol. 60, no. 6
pp. 82 – 85

Abstract

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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 evaluation of physical, mental, and reproductive health. The use of a mathematical modeling method could provide logistic classification models to assess the risk of chrome somatic diseases in adolescents in relation to gender. Psychological factors are of precedence in the development of chronic somatic diseases in adolescents, which is important to be taken into account in the teaching, clinic;) I examination, and rehabilitation of children of this age.

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