Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children.

We described the accuracy of REE prediction using models that include demographic/anthropometric/clinical/metabolic variables. ANN may represent a reliable option for REE estimation, overcoming the inaccuracies of traditional predictive equations/formulae.