AIMC Topic: Basal Metabolism

Clear Filters Showing 1 to 3 of 3 articles

An artificial neural network to predict resting energy expenditure in obesity.

Clinical nutrition (Edinburgh, Scotland) Sep 1, 2017
BACKGROUND & AIMS: The resting energy expenditure (REE) determination is important in nutrition for adequate dietary prescription. The gold standard i.e. indirect calorimetry is not available in clinical settings. Thus, several predictive equations h...
Humans Neural Networks, Computer Female Reproducibility of Results Adult Sensitivity and Specificity Male Middle Aged Cohort Studies Body Mass Index Obesity Energy Metabolism Anthropometry Calorimetry, Indirect Mathematical Concepts Basal Metabolism
View on PubMed DOI

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

TheScientificWorldJournal Jun 15, 2015
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...
Software Algorithms Models, Theoretical Body Mass Index Blood Pressure Internet Knowledge Bases Programming Languages Semantics Food Additives Feeding Behavior Food Motor Activity Basal Metabolism
View on PubMed DOI

Machine-learning modeL based on computed tomography body composition analysis for the estimation of resting energy expenditure: A pilot study.

Clinical nutrition ESPEN Aug 1, 2025
BACKGROUND & AIMS: The assessment of resting energy expenditure (REE) is a challenging task with the current existing methods. The reference method, indirect calorimetry (IC), is not widely available, and other surrogates, such as equations and bioim...
Humans Machine Learning Tomography, X-Ray Computed Female Aged Adult Cross-Sectional Studies Male Middle Aged Pilot Projects Body Composition Energy Metabolism Electric Impedance Calorimetry, Indirect Basal Metabolism
View on PubMed DOI
Popular Topics
Recent Journals