RUS  ENG
Full version
JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2023 Issue 1, Pages 39–49 (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

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.

DOI: 10.14357/20718632230104



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024