Abstract
The potential use entropy modeling of multivariate stochastic systems in medicine has been shown on a concrete example. Assessment of the health status of rural male population, by the criteria of "healthy", "healthy", "sick" was made. Defined levels of entropy parameters which characterize the main risk factors of chronic non-communicable diseases according to the health groups. The greatest contribution of an individual parameter in the entropy of the population was selected in each group The degree of dependence of this parameter from the others was identified. It is established that the deterioration in health status leads to increased entropy in the population. This growth is caused by increase of entropy randomness.
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