Abstract.

The problem of describing the sets on which the classifier was trained to evaluate the state of human health from the results of the analysis of peripheral blood based on a statistical method using the polynomial regression approach is considered,. A method for studying the structure of a training set for each system of the body according to four classes of its defeat is proposed.

Keywords:

state of human health, peripheral blood, classification, polynomial regression, training set

PP. 97-107.

DOI 10.14357/207186321804010

References

1. Stavitskii, R.V. [et al.]. 2013. Kolichestvennaya otsenka gomeostaticheskoy aktivnosti zdorovih i bol’nih lyudey. [Quantitative estimation of homeostatic activity in healthy and sick people]. Moscow, GART. 131p.
2. Gavrikov, M.B., and N.V. Pestryakova 2004. Keldysh Institute Preprints. № 22. Metod polinomial’noy regressii v zadachah raspoznavaniya pechatnih i rukopechatnih simvolov. [Polynomial regression method in pattern recognition of printed and handprinted characters]. 12p.
3. Gavrikov, M. B. [et al.]. Automation and Remote Control. –2006. On a Pattern Recognition Method Based on Polynomial Regression // 67(2). p. 278-292. DOI: 10.1134/S000511790602007X.
4. Pestryakova, N. V. 2011. Metod raspoznavaniya simvolov, osnovannyy na polinomial'noy regressi [The method of character recognition based on polynomial regression]. M: URSS. 141p.
5. Gavrikov, B.M., Pestryakova N. V. 2018. ITVS. O postroyenii priznakovogo prostranstva v zadache obucheniya. [About building the feature space in the problem of learning]. 1:22-29.