Abstract:
The ability to generalize the statistical classifier designed to assess the state of human health by the parameters of peripheral blood is being studied. A mathematical model is described and imple-mented for the numerical study of interpolation and extrapolation properties of the classifier developed by the authors, based on the polynomial-regression approach and having probabilistic estimates.
Keywords:
human health state, body system, peripheral blood, classification, polynomial regression, learning set.
Citation:
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “On the ability of a statistical classifier to generalize”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021, no. 4, 38–50
\Bibitem{GavGavPes21}
\by B.~M.~Gavrikov, M.~B.~Gavrikov, N.~V.~Pestryakova
\paper On the ability of a statistical classifier to generalize
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2021
\issue 4
\pages 38--50
\mathnet{http://mi.mathnet.ru/itvs746}
\crossref{https://doi.org/10.14357/20718632210404}
\elib{https://elibrary.ru/item.asp?id=47385720}
Linking options:
https://www.mathnet.ru/eng/itvs746
https://www.mathnet.ru/eng/itvs/y2021/i4/p38
This publication is cited in the following 4 articles:
Boris Mikhailovich Gavrikov, Mikhail Borisovich Gavrikov, Irina Matveevna Lebedenko, Nadezhda Vladimirovna Pesryakova, “Statistical classifier for determining the localization area of oncopathology using a blood test”, KIAM Prepr., 2024, no. 22, 1
B. M. Gavrikov, M. B. Gavrikov, I. M. Lebedenko, N. V. Pestryakova, “Finding the area of localization of oncopathology according to the parameters of the patient's blood”, Keldysh Institute preprints, 2023, 24–14
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Statistical approach for diagnosing oncological diseases by blood parameters”, Keldysh Institute preprints, 2022, 72–12
B. M. Gavrikov, M. B. Gavrikov, N. V. Pestryakova, “Prototype of a decision support system in medical diagnostics based on a statistical approach”, Keldysh Institute preprints, 2022, 76–23