Quantitative Assessment of the Body's Defense Mechanisms by its Oxidative Status

The purpose of research is to improve the quality of predicting and diagnosing diseases caused by the action of external pathogenic factors through the use of the estimated characteristics of the level of the body's defense.

Methods. It is known that the body's defense system has a highly complex, rather poorly studied, structure of a dynamic type, which does not allow obtaining reliable models for a quantitative assessment of the body's defense level with the subsequent selection of adequate preventive and therapeutic regimens. This work examines the issues of using indicators characterizing the oxidative status of an organism for a quantitative assessment of the level of the body's defense against the effects of many exogenous factors. The methodology for the synthesis of hybrid fuzzy decision rules is used as a basic mathematical apparatus.

Results. It is shown in the work that the indicators of lipid peroxidation and antioxidant activity can be used to quantitatively assess the level of the body's defense against external risk factors. For these indicators, functions of the level of protection and a generalized indicator of the level of protection of the body in the form of a fuzzy decision rule were obtained. The mechanism of embedding this indicator into prognostic and diagnostic decision rules is shown. As a result of expert assessment and mathematical modeling, it was found that the quality of decision making using the proposed models increases by 10 - 20%, depending on the type of problems being solved, compared to models that do not take into account the level of body defense.

Conclusion. In the course of the studies carried out, it was revealed that to improve the quality of predicting and diagnosing diseases caused by the action of external pathogenic factors, quantitative assessments of the level of the body's defense, determined by its oxidative status, can be used. It was found that the quality of decision-making using the proposed models increases by 10 - 20% depending on the type of tasks being solved in comparison with models that do not use indicators of the level of the body's defense.

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