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

Introduction: Accurate assessment of resting energy expenditure (REE) can guide optimal nutritional prescription in critically ill children. Indirect calorimetry (IC) is the gold standard for REE measurement, but its use is limited. Alternatively, REE estimates by predictive equations/formulae are o...

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Detalles Bibliográficos
Autores principales: Spolidoro, Giulia C. I., D’Oria, Veronica, De Cosmi, Valentina, Milani, Gregorio Paolo, Mazzocchi, Alessandra, Akhondi-Asl, Alireza, Mehta, Nilesh M., Agostoni, Carlo, Calderini, Edoardo, Grossi, Enzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618974/
https://www.ncbi.nlm.nih.gov/pubmed/34836053
http://dx.doi.org/10.3390/nu13113797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618974/
https://www.ncbi.nlm.nih.gov/pubmed/34836053
http://dx.doi.org/10.3390/nu13113797

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