High physical loads in modern sports are known to increase the exposure to immune system disorders. Subject to the study were neutrophil granulocytes for the reason that the microbe immunity largely depends on the phagocytic activity. ?hemiluminescent activity of neutrophil granulocytes may result in a `respiratory explosion` that occurs due to interaction of cells with objects of phagocytosis. ?hemiluminescent process parameters are highly informative as indicators of functional activity of neutrophil granulocytes. Modern sport medicine gives a high priority to the ways to forecast potential immune system disorders. For this purpose we designed the neural network model of physical loads versus functional activity of blood neutrophils. Subject to the study were 155 athletes active in different sports including 96 males and 59 females of 24.34±3.54 and 23.12±2.3 years of age, respectively. Reference Group (RG, n=101) was composed of the people not engaged in systemic physical loads (physically inactive) including 53 males and 48 females aged 23.17±2.54 and 22.12±3.01 years, respectively. Average approximation rate (A) for the neural-network model was estimated at 2.77% and 2.98% for the males and females, respectively. Therefore, the newly designed neural-network models were found beneficial as verified by the meaningful forecast rates for the blood neutrophil functional activity in athletes.
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