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This article is cited in 9 scientific papers (total in 9 papers)
The structure of the training base of the statistical classifier of the states of the human body systems
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, R. V. Stavitskii
Abstract:
The properties of the classifier based on the polynomial regression method used to assess human health according to peripheral blood data are investigated. The structure of the training base of seven body systems for men and nine for women was analyzed. For each of the four health classes, the features of the mutual disposition of their elements are considered, their pairs are alien, as well as their own and alien elements relative to the center of mass. The relationship between the adequate complexity of the classifier and the structure of the training set is shown.
Keywords:
human health, body system, peripheral blood, classification,
polynomial regression.
Citation:
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, R. V. Stavitskii, “The structure of the training base of the statistical classifier of the states of the human body systems”, Keldysh Institute preprints, 2018, 255, 40 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2612 https://www.mathnet.ru/eng/ipmp/y2018/p255
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Abstract page: | 137 | Full-text PDF : | 27 | References: | 32 |
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