Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases

Goriacha Veronica A., Sokolov Oleksandr Yu., Ugryumova Kateryna M., Antonyan Igor M., Roshin Yuri V., Zelensky Alexandr I., Moshel Fedor G., Nalbandian Taron A. Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases. Journal of Education, Health and Sport. 2016;6(5):77-93. eISSN 2391-8306. DOI http://dx.doi.org/10.5281/zenodo.51160 http://ojs.ukw.edu.pl/index.php/johs/article/view/3511 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: 05.04.2016. Revised 25.04.2016. Accepted: 05.05.2016. Forecasting of Patients Condition in the Monitoring Medical Systems on the Example of Prostate Diseases Goriacha Veronica A.1, Sokolov Oleksandr Yu.2, Ugryumova Kateryna M.1, Antonyan Igor M.3, Roshin Yuri V.3, Zelensky Alexandr I.3, Moshel Fedor G.3, Nalbandian Taron A.3 1Information technology department, National Aerospace University named by N. Ye. Zhukovsky “Kharkov Aviation Institute”, Ukraine 2Department of Informatics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Grudzianska 5, 87-100, Torun, Poland 3Department of General and children's oncological urology, Medical Academy of Postgraduate Education Moscow Avenue 195, 61037, Kharkiv, Ukraine [email protected], [email protected], [email protected], [email protected] Abstract. The mathematical models and computational methods with implementing them applied information technology of decision support in monitoring medical system are proposed. The method of construction robust monitoring indices based diagnostic models for criteria quality assessment of the systems elements condition is described. The informativeness (significance) assessment method of the systems diagnosing models variables, obtained based on artificial neural networks (ANN) theory instrument is developed. The forecasting method of multivariate time series obtained on the monitoring indices based variables of the dynamic systems condition is developed. The method for solving the condition classification problem of the complex systems elements is improved. The decision support computer system in medical monitoring systems is developed. Application examples of the described methods on diagnosis of medical patients are presented. Keywords: Decision Support Software System, Reasoning Methods, computational methods, clinical medicine

The impact of morphology on light transport in cancellous bone

In recent years, optical techniques based on diffusion approximation have demonstrated their ability to gain rich spectral information about bone. However, these methods normally assume homogeneity, while cancellous bone and marrow form a highly heterogeneous two-phase medium. This paper studies the limitations of this assumption, and quantifies the role of microstructure on long-range transport properties. The propagation of light pulses through trabecular bone is calculated by Monte Carlo simulation of the scattering and absorption in reconstructions of bone samples obtained from x-ray micro tomographic scans. The time-resolved responses are then fitted with the analytical response of a homogeneous material to obtain the apparent transport properties. These properties are used to test different homogenization equations that have been postulated in the past for heterogeneous tissues and to check their accuracy. The results show that nonlinearity and crosstalk between absorption and scattering are statistically significant, although their impact is relatively small. More importantly, we found that the weight of the components is not only affected by their volume fractions, but need to be corrected by other morphologic measures like trabecular spacing or connectivity density. These deviations from the homogeneous assumption are stronger for scattering than for absorption. In conclusion, the average optical properties of cancellous bone are strongly determined by its microstructure, meaning that optical techniques are a valid method for tissue evaluation, but careful consideration of structurerelated perturbation sources is required.Micro ElectronicsElectrical Engineering, Mathematics and Computer Scienc