On the properties of the classifier in case of maximal deviations of blood parameters from the norm | Zendy

Борис Михайлович Гавриков | Zendy; Михаил Борисович Гавриков | Zendy; Nadezhda Vladimirovna Pesryakova | Zendy

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On the properties of the classifier in case of maximal deviations of blood parameters from the norm

Author(s) -

Борис Михайлович Гавриков,

Михаил Борисович Гавриков,

Nadezhda Vladimirovna Pesryakova

Publication year - 2021

Publication title -

keldysh institute preprints

Language(s) - English

Resource type - Journals

eISSN - 2071-2901

pISSN - 2071-2898

DOI - 10.20948/prepr-2021-64

Subject(s) - probabilistic logic , mathematics , norm (philosophy) , classifier (uml) , polynomial regression , regression analysis , statistics , computer science , artificial intelligence , 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 maximal deviation from the norm.

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