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This article is cited in 1 scientific paper (total in 1 paper)
On the properties of the classifier in case of maximal deviations of blood parameters from the norm
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova
Abstract:
A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a maximal deviation from the norm.
Keywords:
human health, body system, peripheral blood, classification, polynomial regression.
Citation:
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of maximal deviations of blood parameters from the norm”, Keldysh Institute preprints, 2021, 064, 27 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2981 https://www.mathnet.ru/eng/ipmp/y2021/p64
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Abstract page: | 58 | Full-text PDF : | 14 | References: | 16 |
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