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Preprints of the Keldysh Institute of Applied Mathematics, 2024, 022, 15 pp.
DOI: https://doi.org/https://doi.org/10.20948/prepr-2024-22
(Mi ipmp3232)
 

Statistical classifier for determining the localization area of oncopathology using a blood test

B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova
References:
Abstract: A mathematical approach is described that makes it possible to determine the location of the tumor based on the analysis of peripheral blood of a cancer patient. A statistical classifier developed by the authors is used for the preliminary diagnosis, based on polynomial regression and having probabilistic estimates. The classifier was trained on peripheral blood databases of male cancer patients in seven different body systems. A method for studying the structure of the training set is proposed and implemented.
Keywords: cancer, body system, peripheral blood, classification, polynomial regression, training set.
Document Type: Preprint
Language: Russian
Citation: B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova, “Statistical classifier for determining the localization area of oncopathology using a blood test”, Keldysh Institute preprints, 2024, 022, 15 pp.
Citation in format AMSBIB
\Bibitem{GavGavLeb24}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, I.~M.~Lebedenko, N.~V.~Pestryakova
\paper Statistical classifier for determining the localization area of oncopathology using a blood test
\jour Keldysh Institute preprints
\yr 2024
\papernumber 022
\totalpages 15
\mathnet{http://mi.mathnet.ru/ipmp3232}
\crossref{https://doi.org/https://doi.org/10.20948/prepr-2024-22}
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    Препринты Института прикладной математики им. М. В. Келдыша РАН
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