Geodesic
Statistical classifier for diagnosing oncological diseases
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2023), pp. 39-49 Cet article a éte moissonné depuis la source Math-Net.Ru

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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.
Mots-clés : cancer, classification, polynomial regression
Keywords: body system, peripheral blood, learning set. 
@article{ITVS_2023_1_a3,
     author = {B. M. Gavrikov and N. V. Pestryakova},
     title = {Statistical classifier for diagnosing oncological diseases},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {39--49},
     year = {2023},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2023_1_a3/}
}
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B. M. Gavrikov; N. V. Pestryakova. Statistical classifier for diagnosing oncological diseases. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2023), pp. 39-49. http://geodesic.mathdoc.fr/item/ITVS_2023_1_a3/