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Basic physiological systems indicator's informative assessment for children and adolescents obesity diagnosis tasks O. V. Marukhina, O. G. Berestneva, Y. A. Emelyanova [et al.]

Contributor(s): Berestneva, Olga Grigorevna | Emelyanova, Yu. A | Romanchukov, S. V | Petrova, Lyudmila | Lombardo, Caterina | Kozlova, Natalia V | Marukhina, Olga VMaterial type: ArticleArticleSubject(s): информационные технологии | диагностика ожирения | дети | подростки | информационная оценка | физиологические системы организма | принятие решенийGenre/Form: статьи в журналах Online resources: Click here to access online In: Journal of Physics: Conference Series Vol. 1015. P. 032091 (1-10)Abstract: The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings.
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The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings.

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