Regression analysis for solving diagnosis problem of children's health; IOP Conference Series: Materials Science and Engineering; Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015)
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015).— 2016.— [012047, 6 p.] |
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| Resumo: | Title screen The paper includes results of scientific researches. These researches are devoted to the application of statistical techniques, namely, regression analysis, to assess the health status of children in the neonatal period based on medical data (hemostatic parameters, parameters of blood tests, the gestational age, vascular-endothelial growth factor) measured at 3-5 days of children's life. In this paper a detailed description of the studied medical data is given. A binary logistic regression procedure is discussed in the paper. Basic results of the research are presented. A classification table of predicted values and factual observed values is shown, the overall percentage of correct recognition is determined. Regression equation coefficients are calculated, the general regression equation is written based on them. Based on the results of logistic regression, ROC analysis was performed, sensitivity and specificity of the model are calculated and ROC curves are constructed. These mathematical techniques allow carrying out diagnostics of health of children providing a high quality of recognition. The results make a significant contribution to the development of evidence-based medicine and have a high practical importance in the professional activity of the author. |
| Idioma: | inglês |
| Publicado em: |
2016
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| Colecção: | Numerical Simulation of Applied Problems |
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| Acesso em linha: | http://dx.doi.org/10.1088/1757-899X/124/1/012047 http://earchive.tpu.ru/handle/11683/33847 |
| Formato: | Recurso Electrónico Capítulo de Livro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=648531 |
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| 200 | 1 | |a Regression analysis for solving diagnosis problem of children's health |f Yu. A. Cherkashina, O. M. Gerget | |
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| 225 | 1 | |a Numerical Simulation of Applied Problems | |
| 300 | |a Title screen | ||
| 320 | |a [References: 7 tit.] | ||
| 330 | |a The paper includes results of scientific researches. These researches are devoted to the application of statistical techniques, namely, regression analysis, to assess the health status of children in the neonatal period based on medical data (hemostatic parameters, parameters of blood tests, the gestational age, vascular-endothelial growth factor) measured at 3-5 days of children's life. In this paper a detailed description of the studied medical data is given. A binary logistic regression procedure is discussed in the paper. Basic results of the research are presented. A classification table of predicted values and factual observed values is shown, the overall percentage of correct recognition is determined. Regression equation coefficients are calculated, the general regression equation is written based on them. Based on the results of logistic regression, ROC analysis was performed, sensitivity and specificity of the model are calculated and ROC curves are constructed. These mathematical techniques allow carrying out diagnostics of health of children providing a high quality of recognition. The results make a significant contribution to the development of evidence-based medicine and have a high practical importance in the professional activity of the author. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\13617 |t Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015) |o International Conference, 1–4 December 2015, Tomsk, Russia |o [proceedings] |v [012047, 6 p.] |d 2016 | |
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| 700 | 1 | |a Cherkashina |b Yu. A. |c specialist in the field of informatics and computer technology |c programmer of Tomsk Polytechnic University |f 1991- |g Yuliya Andreevna |3 (RuTPU)RU\TPU\pers\36279 | |
| 701 | 1 | |a Gerget |b O. M. |c Specialist in the field of informatics and computer technology |c Professor of Tomsk Polytechnic University, Doctor of Sciences |f 1974- |g Olga Mikhailovna |3 (RuTPU)RU\TPU\pers\31430 |9 15593 | |
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