Kim, H. H. (2025). Predicting the Need for Cardiopulmonary Resuscitation in Preterm Infants in the Delivery Room Using Machine Learning Models: Analysis of a Korean Neonatal Network Database. Journal of Korean medical science, 40(34), e208-13. https://doi.org/10.3346/jkms.2025.40.e208
Chicago Style (17th ed.) CitationKim, Hyun Ho. "Predicting the Need for Cardiopulmonary Resuscitation in Preterm Infants in the Delivery Room Using Machine Learning Models: Analysis of a Korean Neonatal Network Database." Journal of Korean Medical Science 40, no. 34 (2025): e208-13. https://doi.org/10.3346/jkms.2025.40.e208.
MLA (9th ed.) CitationKim, Hyun Ho. "Predicting the Need for Cardiopulmonary Resuscitation in Preterm Infants in the Delivery Room Using Machine Learning Models: Analysis of a Korean Neonatal Network Database." Journal of Korean Medical Science, vol. 40, no. 34, 2025, pp. e208-13, https://doi.org/10.3346/jkms.2025.40.e208.