AIMC Topic: Eating

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Overweight postmenopausal women with different plasma estradiol concentrations present with a similar pattern of energy expenditure and substrate oxidation rate before and after a fatty meal challenge.

Clinical nutrition ESPEN Jun 2, 2016
Menopause-related withdrawal of ovarian estrogens is associated with reduced energy metabolism and overall impairment of substrate oxidation. Estradiol's withdrawal after menopause is associated with a reduction in energy metabolism and impaired subs...
Obesity Carbohydrate Metabolism Oxidation-Reduction Humans Dietary Fats Female Body Composition Menopause Middle Aged Estrogens Intra-Abdominal Fat Child Body Mass Index Calorimetry, Indirect Estradiol Energy Metabolism Lipid Metabolism Postmenopause Eating Meals Postprandial Period
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A Hierarchical Classification and Segmentation Scheme for Processing Sensor Data.

IEEE journal of biomedical and health informatics Feb 8, 2016
Detecting short-duration events from continuous sensor signals is a significant challenge in the domain of wearable devices and health monitoring systems. Time-series segmentation refers to the challenge of subdividing a continuous stream of data int...
Humans Machine Learning Algorithms Female Young Adult Adult Clothing Signal Processing, Computer-Assisted Eating Monitoring, Ambulatory Male Models, Theoretical
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A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior.

Sensors (Basel, Switzerland) May 8, 2025
The dynamic process of eating-including chewing, biting, swallowing, food items, eating time and rate, mass, environment, and other metrics-may characterize behavioral aspects of eating. This article presents a systematic review of the use of sensor ...
Monitoring, Physiologic Eating Feeding Behavior Humans Machine Learning Biosensing Techniques
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Predicting dry matter intake in cattle at scale using gradient boosting regression techniques and Gaussian process boosting regression with Shapley additive explanation explainable artificial intelligence, MLflow, and its containerization.

Journal of animal science Jan 4, 2025
Dry matter intake (DMI) is a measure critical to managing and evaluating livestock. Methods exist for quantifying individual DMI in dry lot settings that employ expensive intake systems. No methods exist to accurately measure individual DMI of grazin...
Regression Analysis Eating Animal Feed Diet Animal Husbandry Cattle Artificial Intelligence Machine Learning Animals
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Tracking of Nutritional Intake Using Artificial Intelligence.

Studies in health technology and informatics May 18, 2023
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...
Obesity Eating Food Humans Artificial Intelligence Energy Intake
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Impact of preoperative oral domperidone on gastric residual volume after clear fluid ingestion in patients scheduled for elective surgery: a randomized controlled trial.

Anaesthesiology intensive therapy Jan 1, 2023
INTRODUCTION: Oral domperidone is a prokinetic drug that enhances gastric emptying, which has a positive effect in decreasing gastric residual volume (GRV), subsequently decreasing the risk of pulmonary aspiration. This study aimed to assess the effe...
Eating Postoperative Nausea and Vomiting Humans Residual Volume Domperidone Tablets
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A Comparative Study of Deep Learning Algorithms for Detecting Food Intake.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
The choice of appropriate machine learning algorithms is crucial for classification problems. This study compares the performance of state-of-the-art time-series deep learning algorithms for classifying food intake using sensor signals. The sensor si...
Machine Learning Algorithms Disease Progression Humans Neural Networks, Computer Deep Learning Eating
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Data Ingestion for AI in Prostate Cancer.

Studies in health technology and informatics May 25, 2022
Prostate cancer (PCa) is one of the most prevalent cancers in the male population. Current clinical practices lead to overdiagnosis and overtreatment necessitating more effective tools for improving diagnosis, thus the quality of life of patients. Re...
Male Quality of Life Prostatic Neoplasms Humans Artificial Intelligence Eating
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FOBI: an ontology to represent food intake data and associate it with metabolomic data.

Database : the journal of biological databases and curation Jan 1, 2020
Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these t...
Metabolomics Metabolome Internet Eating Biological Ontologies Food Humans Software Biomarkers
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Assessment of In-Meal Eating Behaviour using Fuzzy SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Certain patterns of eating behaviour during meal have been identified as risk factors for long-term abnormal eating development in healthy individuals and, eventually, can affect the body weight. To detect early signs of problematic eating behaviour,...
Feeding Behavior Meals Humans Algorithms Support Vector Machine Obesity Eating
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