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Preprints of the Keldysh Institute of Applied Mathematics, 2021, 036, 23 pp.
DOI: https://doi.org/10.20948/prepr-2021-36 (Mi ipmp2953) 		 
This article is cited in 2 scientific papers (total in 2 papers)

On the properties of the classifier in case of normal blood parameters

B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova
Full-text PDF (1990 kB) Citations (2)
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DOI: https://doi.org/10.20948/prepr-2021-36
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 normal parameters.
Keywords: human health, body system, peripheral blood, classification, polynomial regression.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-26008
18-29-26009
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the properties of the classifier in case of normal blood parameters”, Keldysh Institute preprints, 2021, 036, 23 pp.
Citation in format AMSBIB
\Bibitem{GavGavPes21}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper On the properties of the classifier in case of normal blood parameters
\jour Keldysh Institute preprints
\yr 2021
\papernumber 036
\totalpages 23
\mathnet{http://mi.mathnet.ru/ipmp2953}
\crossref{https://doi.org/10.20948/prepr-2021-36}
\elib{https://elibrary.ru/item.asp?id=46123547}
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  • https://www.mathnet.ru/eng/ipmp/y2021/p36
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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    Full-text PDF :30
    References:17
     
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