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...

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Main Authors: Valentina De Cosmi, Alessandra Mazzocchi, Gregorio Paolo Milani, Edoardo Calderini, Silvia Scaglioni, Silvia Bettocchi, Veronica D’Oria, Thomas Langer, Giulia C. I. Spolidoro, Ludovica Leone, Alberto Battezzati, Simona Bertoli, Alessandro Leone, Ramona Silvana De Amicis, Andrea Foppiani, Carlo Agostoni, Enzo Grossi
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-04-01
Colecção:Journal of Clinical Medicine
Assuntos:
energy expenditure
metabolism
nutrition
neural networks
children
Acesso em linha:https://www.mdpi.com/2077-0383/9/4/1026
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