Open AccessOn the properties of the classifier in case of significant deviations of blood parameters from the norm
Author(s) -
Борис Михайлович Гавриков,
М. Б. Гавриков,
Nadezhda Vladimirovna Pesryakova
Publication year - 2021
Publication title -
preprint/preprinty ipm im. m.v. keldyša
Language(s) - English
Resource type - Journals
eISSN - 2071-2901
pISSN - 2071-2898
DOI - 10.20948/prepr-2021-31
Subject(s) - classifier (uml) , probabilistic logic , mathematics , regression analysis , norm (philosophy) , polynomial regression , computer science , artificial intelligence , statistics , political science , law
A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a significant deviation from the norm.