Scientific Data Analysis Using Neural Networks as Exemplified in Defining the Factors Impacting the C-reactive Protein Level
Alexander A. Zakharov*, Evgeni A. Olennikov, Tatyana I. Payusova, Tatyana I. Petelina, Natalia A. Musikhina and Ludmila I. Gapon
10 Republic Str., 625003 Tyumen, Russian Federation
- *Corresponding Author:
- Zakharov AA
10 Republic Str., 625003 Tyumen
E-mail: [email protected]
Received Date: May 5, 2016; Accepted Date: July 20, 2016; Published Date: Aug 27, 2016
Citation: Zakharov AA, Olennikov EA, Payusova TI, Petelina TI, Musikhina NA, et al. (2016) Scientific Data Analysis Using Neural Networks as Exemplified in Defining the Factors Impacting the C-reactive Protein Level. Biol Med (Aligarh) 8:329. doi:10.4172/0974-8369.1000329.
Copyright: © 2016 Zakharov et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The article describes the approaches, involving the usage of medical information systems as a tool for clinical and biological studies. The example describes the technology and technique to automate the medical and clinical studies, conducted to define the factors, impacting the level of inflammatory response marker—C-reactive protein level for the patients with ischemic heart disease. The toolset includes the artificial neural network to analyze the overall situation based on the analysis of various parameters and their interdependencies. Technology and technique are implemented as software module of medical information system of the branch of Institute of Cardiology “Tyumen Cardiology Center”.