Development and Validation of Prediction Model for Neonatal Intensive Care Unit (NICU) Admission Using Machine Learning and Multivariate Statistical Approach

The work aims to provide a method for assessing newborn infants' risk to determine whether they need to be admitted to the NICU before birth and uses an explainable feature learning technique to predict NICU admissions.