Using Multivariate Regression Models for Restoring Endocrinological Indicators

The article considers the possibility of creating new information technologies for processing databases obtained during primary research and by expanding the dimensionality of the vector of primary parameters by analytical methods. The authors use the results of experimental studies of advanced medical institutions, forming a database of biomedical indicators and calculating their correlation. The conducted research made it possible to obtain mathematical dependencies that allow to study mathematical models of the rehabilitation processes of patients with gunshot wounds.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/khpiweek61434.2024.10878003
Citations
3
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
2.13
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article

Using Multivariate Regression Models for Restoring Endocrinological Indicators

Tatyana Bernadskaya, K.V. Misiura, Kostyantyn Kolisnyk, Yevgen Sokol et al.
3 citations
Statistical Methods and Bayesian Inference
2.13
article

Using Multivariate Regression Models for Restoring Endocrinological Indicators

Tatyana Bernadskaya, K.V. Misiura, Kostyantyn Kolisnyk, Yevgen Sokol, Pavlo Shchapov, Andriy Chepurko
article en
3 citations

Abstract

The article considers the possibility of creating new information technologies for processing databases obtained during primary research and by expanding the dimensionality of the vector of primary parameters by analytical methods. The authors use the results of experimental studies of advanced medical institutions, forming a database of biomedical indicators and calculating their correlation. The conducted research made it possible to obtain mathematical dependencies that allow to study mathematical models of the rehabilitation processes of patients with gunshot wounds.

State Institution "Institute for Children and Adolescents Health Care at the National Academy of Medical Sciences of Ukraine" (UA), National Technical University "Kharkiv Polytechnic Institute" (UA)
Zero hunger
Openalex Percentile: Top 11%
Statistical Methods and Bayesian Inference
2.13
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