Introduction. The urgency of the topic is due to the high frequency of the birth of late premature infants (about 75% of all premature births), the development of pathological conditions in the early neonatal period and the search for ways to prevent the birth of late preterm infants with adaptation disorders. Aim: to develop an algorithm for predicting the probability of postnatal adaptation disorders based on the identification of the leading risk factors for the adaptation failure in late preterm infants. Materials and methods. In 158 late premature infants with disorders (n = 97) and without disorders of postnatal adaptation (n = 61), 64 clinical and anamnestic indicators of maternal health, pregnancy and delivery, and the state of late preterm infants after birth were analyzed. Results. There are 9 leading risk factors for postnatal adaptation disorders in late preterm infants: the condition at birth is moderate or severe (significance - 5.46), the impossibility of early breastfeeding (3.43), cesarean section (2.42), the need in resuscitation care (2.35), fetal distress (1.97), placental dysfunction (1.83), birth weight at less than 10 percentiles (1.53), preeclampsia (1.43), Apgar scale for 5 minutes is less than 7 points (1.33). Conclusions. The proposed prognostic model has a high level of significance (R = 0.97), medium sensitivity (0.70), and high specificity (0.97), which suggests the possibility of using the developed forecasting model in practical medicine.