Prediction of Resting Energy Expenditure in Children: May Artificial Neural Networks Improve Our Accuracy?

The inaccuracy of resting energy expenditure (REE) prediction formulae to calculate energy metabolism in children may lead to either under- or overestimated real caloric needs with clinical consequences. The aim of this paper was to apply artificial neural networks algorithms (ANNs) to REE predictio...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Cyhoeddwyd yn:J Clin Med
Prif Awduron: De Cosmi, Valentina, Mazzocchi, Alessandra, Milani, Gregorio Paolo, Calderini, Edoardo, Scaglioni, Silvia, Bettocchi, Silvia, D’Oria, Veronica, Langer, Thomas, Spolidoro, Giulia C. I., Leone, Ludovica, Battezzati, Alberto, Bertoli, Simona, Leone, Alessandro, De Amicis, Ramona Silvana, Foppiani, Andrea, Agostoni, Carlo, Grossi, Enzo
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: MDPI 2020
Pynciau:
Article
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC7230279/
https://ncbi.nlm.nih.gov/pubmed/32260581
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm9041026
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