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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 072, 12 pp.
DOI: https://doi.org/10.20948/prepr-2022-72 (Mi ipmp3097) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Statistical approach for diagnosing oncological diseases by blood parameters

B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova
Full-text PDF (999 kB) Citations (3)
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DOI: https://doi.org/10.20948/prepr-2022-72
Abstract: A mathematical method is proposed for the preliminary diagnosis of human oncological diseases of various localization by blood parameters. The authors have developed a statistical classifier based on a polynomial-regression approach and having probabilistic estimates. Training was carried out on databases of analysis of peripheral blood of cancer patients in various body systems.
Keywords: cancer, body system, peripheral blood, classification, polynomial regression, training set.
Document Type: Preprint
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical approach for diagnosing oncological diseases by blood parameters”, Keldysh Institute preprints, 2022, 072, 12 pp.
Citation in format AMSBIB
\Bibitem{GavGavPes22}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper Statistical approach for diagnosing oncological diseases by blood parameters
\jour Keldysh Institute preprints
\yr 2022
\papernumber 072
\totalpages 12
\mathnet{http://mi.mathnet.ru/ipmp3097}
\crossref{https://doi.org/10.20948/prepr-2022-72}
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  • https://www.mathnet.ru/eng/ipmp/y2022/p72
    • 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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    Full-text PDF :21
    References:12
     
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