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.

The article is devoted to the assessment of the socio-economic burden of caring for very premature babies. The developed methodology for determining the socio-economic burden is a universal tool for estimating the costs of nursing, care and rehabilitation of premature infants. The formed structure of direct and indirect costs will allow more efficient budget planning in terms of healthcare costs for premature babies.