Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network.

The nine-parameter ANN model is the best alternative than the other models to predict serum digoxin concentrations whenever therapeutic drug monitoring is not available. Further cross-validations using diverse samples from different hospitals for newborn infants are needed.