LAUSR

Key Points Question Can the artificial neural network (ANN) predict risk for neonatal metabolic bone disease (MBD) in the prenatal and postnatal periods? Findings In this diagnostic study of 10 801 participants, among 5 ANN models with different exposures, the models including significant prenatal and postnatal factors and postnatal factors alone had the best ability to predict infants at risk for MBD. Meaning These findings suggest that the ANN, using prenatal and postnatal factors, could be an efficient tool for identifying neonates at risk for BMD.