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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 032, 40 pp.
DOI: https://doi.org/10.20948/prepr-2020-32
(Mi ipmp2823)
 

This article is cited in 3 scientific papers (total in 3 papers)

On the stability of the statistical classifier of states of human body systems to distortions

B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova
References:
Abstract: The methodology and the results of the analysis of the properties of the classifier developed by the authors are described, which are intended for assessing the state of human health according to the results of laboratory analysis of peripheral blood. It is based on the non-linear method of statistical classification, using the polynomial-regression approach and having probabilistic estimates. A study is made of the stability of the method to distortion and of its extrapolation capabilities.
Keywords: human health, body system, peripheral blood, classification, polynomial regression.
Funding agency Grant number
Russian Foundation for Basic Research 18-29-26008
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the stability of the statistical classifier of states of human body systems to distortions”, Keldysh Institute preprints, 2020, 032, 40 pp.
Citation in format AMSBIB
\Bibitem{GavGavPes20}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper On the stability of the statistical classifier of states of human body systems to distortions
\jour Keldysh Institute preprints
\yr 2020
\papernumber 032
\totalpages 40
\mathnet{http://mi.mathnet.ru/ipmp2823}
\crossref{https://doi.org/10.20948/prepr-2020-32}
\elib{https://elibrary.ru/item.asp?id=42839428}
Linking options:
  • https://www.mathnet.ru/eng/ipmp2823
  • https://www.mathnet.ru/eng/ipmp/y2020/p32
  • This publication is cited in the following 3 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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    Abstract page:62
    Full-text PDF :24
    References:14
     
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