Алгоритм принятия решений для оптимизации прогнозирования развития заболеваний на первичном уровне с комплексным поэтапным применением информационных методик = The algorithm of decision-making to optimize the prediction of disease at the primary level with a complex phased application of information techniques

Selskyy P. R., Selskyy B. P. Алгоритм принятия решений для оптимизации прогнозирования развития заболеваний на первичном уровне с комплексным поэтапным применением информационных методик = The algorithm of decision-making to optimize the prediction of disease at the primary level with a complex phased application of information techniques. Journal of Education, Health and Sport. 2016;6(9):305-314. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.61842 http://ojs.ukw.edu.pl/index.php/johs/article/view/3846 The journal has had 7 points in Ministry of Science and Higher Education parametric evaluation. Part B item 755 (23.12.2015). 755 Journal of Education, Health and Sport eISSN 2391-8306 7 © The Author (s) 2016; This article is published with open access at Licensee Open Journal Systems of Kazimierz Wielki University in Bydgoszcz, Poland Open Access. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. This is an open access article licensed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted, non commercial use, distribution and reproduction in any medium, provided the work is properly cited. The authors declare that there is no conflict of interests regarding the publication of this paper. Received: 05.08.2016. Revised 25.08.2016. Accepted: 06.09.2016. The algorithm of decision-making to optimize the prediction of disease at the primary level with a complex phased application of information techniques P. R. Selskyy, B. P. Selskyy State Institution of Higher Education “I. Horbachevsky Ternopil State Medical University of the Ministry of Health of Ukraine”, Ternopil, Ukraine Summary The paper describes the algorithm of decision-making to optimize the prediction of disease at the primary health care level with a complex phased application of information techniques. The approach is based on analysis of the average values of indicators, correlation coefficients, using multi-parameter neural network clustering, ROC-analysis and decision tree. The data of 63 patients with arterial hypertension obtained at teaching and practical centers of primary health care were used for the analysis. The blood pressure at the first treatment of the patients was as follows: systolic – (154,76 ± 2,29) mm Hg, diastolic – (92,94 ± 1,04) mm Hg, pulse pressure – (61,83 ± 1,95) mm Hg. Indicators of the upper and lower blood pressure were significantly lower compared with those before the treatment: systolic – (145,86 ± 2,01) mm Hg (P