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JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2018 Issue 4, Pages 97–107 (Mi itvs328)

This article is cited in 5 papers

DATA PROCESSING AND ANALYSIS

On the properties of learning sets

B. M. Gavrikova, N. V. Pestryakovaa, R. V. Stavitskiib

a Federal Research Center “Computer Science and Control” of Russian Academy of Sciences, Moscow, Russia
b Russian Scientific Center of Roentgenoradiology, Moscow, Russia

Abstract: The problem of describing the sets on which the classifier was trained to evaluate the state of human health from the results of the analysis of peripheral blood based on a statistical method using the polynomial regression approach is considered. A method for studying the structure of a training set for each system of the body according to four classes of its defeat is proposed.

Keywords: state of human health, peripheral blood, classification, polynomial regression, training set.

DOI: 10.14357/207186321804010



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© Steklov Math. Inst. of RAS, 2024