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Preprints of the Keldysh Institute of Applied Mathematics, 2018, 126, 18 pp.
DOI: https://doi.org/10.20948/prepr-2018-126 (Mi ipmp2485) 		 
This article is cited in 7 scientific papers (total in 7 papers)

On the structure of the classifier's training base for assessing the state of human health

B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova
Full-text PDF (817 kB) Citations (7)
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DOI: https://doi.org/10.20948/prepr-2018-126
Abstract: A classifier has been developed that allows assessing the state of human health in four grades based on laboratory analysis of peripheral blood. A statistical classification method based on a polynomial-regression approach and having probability estimates is used. For each of the body systems, the analysis of the structure of the training base was carried out separately for men and women.
Keywords: state of human health, peripheral blood, classification, polynomial regression.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00742_а
Bibliographic databases:
Document Type: Preprint
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the structure of the classifier's training base for assessing the state of human health”, Keldysh Institute preprints, 2018, 126, 18 pp.
Citation in format AMSBIB
\Bibitem{GavGavPes18}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper On the structure of the classifier's training base for assessing the state of human health
\jour Keldysh Institute preprints
\yr 2018
\papernumber 126
\totalpages 18
\mathnet{http://mi.mathnet.ru/ipmp2485}
\crossref{https://doi.org/10.20948/prepr-2018-126}
\elib{https://elibrary.ru/item.asp?id=35129700}
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  • https://www.mathnet.ru/eng/ipmp/y2018/p126
    • This publication is cited in the following 7 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:117
    Full-text PDF :27
    References:17
     
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