Riskometers are a modern tool in human health management. Their development is carried out by Novosibirsk State Technical University (NETI) together with the Research Institute of Therapy and Preventive Medicine (NIITPM).
The riskometer is a scientifically based and easy—to-use tool that allows you to assess the risk or probability of diseases in the form of numerical or verbal characteristics. The direction of developing risk meters is relevant, since a lot of data is constantly being collected and has already been accumulated in various fields of medicine. Their analysis allows you to choose the most informative from a variety of parameters, which makes it possible to reduce the number of necessary studies for preliminary diagnosis. This allows you to quickly obtain preliminary diagnostic results and often reduce financial costs.
"Our work consists in analyzing the research data collected by doctors, as a result of which we generate various mathematical models and verify their applicability in practice with the help of specialists. Over the past few years, in the course of cooperation with the laboratories of clinical biochemical and hormonal studies of therapeutic diseases and gastroenterology of NIITPM, many experiments and studies have been conducted to develop riskometers, in which students and undergraduates participated," said Irina Yakovina, Associate Professor of the Department of Computer Engineering at NSTU-NETI, Candidate of Technical Sciences.
Participation in new promising areas under the leadership of the heads of the NIITPM laboratories, Elena Kashtanova, Doctor of Biological Sciences, and Margarita Kruchinina, Doctor of Medical Sciences, allows us to develop new approaches in riskometry. According to the results of the work, a patent was obtained for "A method for assessing the presence of coronary heart disease in young people", in the process of registration a patent for "A method for differential diagnosis of inflammatory bowel diseases".
The sets of mathematical models described in the patents allow us to take into account the relationship of various parameters that work on the principle of complementarity. When using them, it is possible to obtain a comprehensive information indicator. It can be used to assess both the degree of risk during screening studies and the degree of progression of chronic diseases. In addition, it can be used to assess when the disease goes from the stage of remission against the background of some factors to the stage of exacerbation, sometimes even hidden from the patient. This is important in order to adjust therapy or send the patient to the hospital in a timely manner and stabilize or, in some cases, improve his condition.