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Volume 10   Issue 1   Year 2015
Assessment of Health Status of a Population on the Basis of Entropy Modeling

Tyrsin A.N., Kalev O.F., Yashin D.A., Lebedeva O.V.

Ural Federal University named after the first President of Russia B.N. Yeltsin, 620002, 19 Mira street, Ekaterinburg, Russia
South Ural State Medical University, 454092, 64, Vorovskogo street, Chelyabinsk, Russia
Chelyabinsk State University, 454001, 129 Bratyev Kashirinykh street, Chelyabinsk, Russia

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.
Key words: entropy, model, multidimensional random variable, variance, index of determination, risk factor, population, non-communicable diseases, health status.
Table of Contents Original Article
Math. Biol. Bioinf.
doi: 10.17537/2015.10.206
published in Russian

Abstract (rus.)
Abstract (eng.)
Full text (rus., pdf)


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