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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, Issue 1, Pages 39–49
DOI: https://doi.org/10.14357/20718632230104 (Mi itvs795) 		 
DATA PROCESSING AND ANALYSIS

Statistical classifier for diagnosing oncological diseases

B. M. Gavrikov, N. V. Pestryakova

Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
Full-text PDF (526 kB)
DOI: https://doi.org/10.14357/20718632230104
Abstract: An approach to the diagnosis of human oncological diseases of various localization is described. For this purpose, a statistical classifier developed by the authors is used, which is based on a polynomial-regression approach and has probabilistic estimates. Training was conducted on databases of analysis of peripheral blood of cancer patients for various body systems.
Keywords: cancer, body system, peripheral blood, classification, polynomial regression, learning set.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: B. M. Gavrikov, N. V. Pestryakova, “Statistical classifier for diagnosing oncological diseases”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023, no. 1, 39–49
Citation in format AMSBIB
\Bibitem{GavPes23}
\by B.~M.~Gavrikov, N.~V.~Pestryakova
\paper Statistical classifier for diagnosing oncological diseases
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2023
\issue 1
\pages 39--49
\mathnet{http://mi.mathnet.ru/itvs795}
\crossref{https://doi.org/10.14357/20718632230104}
\elib{https://elibrary.ru/item.asp?id=50392211}
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