Methodology of the decision tree for assessing the economic burden in determining the risk factors for disability and mortality in premature babies

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.