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.
Authors
- Tatyana Bernadskaya
- K.V. Misiura (ORCID: https://orcid.org/0000-0002-0258-9109)
- Kostyantyn Kolisnyk
- Yevgen Sokol (ORCID: https://orcid.org/0000-0003-1960-3445)
- Pavlo Shchapov
- Andriy Chepurko
Institutions
- 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)
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