Scientific data analysis in medical information system (case study of determining the factors affecting the level of c-reactive protein using neural networks)

About the authors:

Alexander A. Zakharov, Dr. Sci (Tech.), Professor, Secure Smart City Information Technologies Department, University of Tyumen; a.a.zakharov@utmn.ru

Eugene A. Olennikov, Cand. Sci. (Tech.), Associate Professor, Head of the department of Information Security, University of Tyumen; e.a.olennikov@utmn.ru

Tatyana I. Payusova, Senior Lecturer, Department of Information Security, Institute of Mathematics and Computer Sciences, Tyumen State University
Tatyana I. Petelina, Dr. Sci. (Med.), Senior Researcher, Hypertension and Coronary Insufficiency Unit, Scientific Department of Clinical Cardiology, Tyumen Cardiology Center
Natalya A. Musikhina, Cand. Sci. (Med.), Head of the Department of Emergency Cardiology, Scientific Department of Clinical Cardiology, Tyumen Cardiology Center
Lyudmila I. Gapon, Dr. Sci. (Med.), Professor, Head of the Scientific Department of Clinical Cardiology, Tyumen Cardiology Center
Irina V. Osipova, Assistant, Department of Emergency Cardiology, Scientific Department of Clinical Cardiology, Tyumen Cardiology Center
Anastasiya G. Takkand, Cardiologist, Cardiology Department № 1, Tyumen Cardiology Center
Olga E. Belosludtseva, Cardiologist, Cardiology Department № 1, Tyumen Cardiology Center

Abstract:

This article describes the approaches that admit usage of medical information systems as a tool for clinical and biological researches. The technology that allows to automate medical research conducted to determine the factors affecting the level of a marker of the inflammatory response (C-reactive protein) in patients with coronary heart disease is described as an example. Artificial neural network which allows to assess the situation on the basis of analysis of a large number of indicators and their relationships is used as the tool. Technology and methodology are implemented as a software module of the medical information system of Tyumen Cardiology Center, Affiliate of Research Institute for Cardiology of Siberian Branch of the Russian Academy of Medical Sciences.

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