An artificial neural network to predict resting energy expenditure in obesity

Article ID	Journal	Published Year	Pages	File Type
10211395	Clinical Nutrition	2018	9 Pages	PDF

Abstract

We developed and validated an ANN model for the prediction of REE in obese subjects that is more precise and accurate than established REE predictive equations independent from BMI subgroups. For convenient use in clinical settings, we provide a simple ANN-REE calculator available at: https://www.crnh-rhone-alpes.fr/fr/ANN-REE-Calculator.

Keywords

ANN MLP REE FFM RMSPE MAPE Resting energy expenditure fat-free mass Artificial Neural Network Artificial neuronal network Obesity mean absolute percentage error Multi-Layer Perceptron Indirect calorimetry

Related Topics

Health Sciences Medicine and Dentistry Critical Care and Intensive Care Medicine

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An artificial neural network to predict resting energy expenditure in obesity

Authors

Emmanuel Disse, Séverine Ledoux, Cécile Bétry, Cyrielle Caussy, Christine Maitrepierre, Muriel Coupaye, Martine Laville, Chantal Simon,