Methodology of the decision tree for assessing the economic burden in determining the risk factors for disability and mortality in premature babies
https://doi.org/10.34020/2073-6495-2022-4-190-207
Abstract
The problem of prematurity remains one of the most important in modern neonatology. The article provides an assessment of the economic costs for the care, nursing and rehabilitation of premature babies, and using the machine learning method, the lower limit of the gestational age for nursing and active treatment of this category of children is determined, taking into account the influence of the main risk factors for such outcomes as death and disability. The results obtained will reduce the economic burden of the state on the treatment of infants born with extremely low body weight.
About the Authors
B. R. Sultanov
Bashkir State University
Russian Federation
Russian Federation
B.R. Sultanov – Graduate Student, Department of Digital Economy and Communications, Institute of Economics, Finance and Business
Ufa
R. Kh. Bakhitova
Bashkir State University
Russian Federation
Russian Federation
R.H. Bakhitova – Doctor of Economics, Associate Professor, Head of the Department of Digital Economy and Communications, Institute of Economics, Finance and Business
Ufa
I. A. Laсhman
Bashkir State University
Russian Federation
Russian Federation
I.A. Lakman – Candidate of Technical Sciences, Associate Professor, Head of the Laboratory for the Study of Socio-Economic Problems of Regions, Institute of Economics, Finance and Business
Ufa
O. A. Bryukhanova
Bashkir State Medical University
Russian Federation
Russian Federation
O.A. Bryukhanova – Candidate of Medical Sciences, Associate Professor, Department of Hospital Pediatrics
Ufa
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Review
For citations:
Sultanov B.R., Bakhitova R.Kh., Laсhman I.A., Bryukhanova O.A. Methodology of the decision tree for assessing the economic burden in determining the risk factors for disability and mortality in premature babies. Vestnik NSUEM. 2022;(4):190-207. (In Russ.) https://doi.org/10.34020/2073-6495-2022-4-190-207
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