AIMC Topic: Diet

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Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.

Nutrients Dec 13, 2019
The Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a free dietary recall system that outputs fewer nutrients than the Nutrition Data System for Research (NDSR). NDSR uses the Nutrition Coordinating Center (NCC) Food and Nutrie...
Humans Diet Models, Statistical Lactose Diet Records Machine Learning Software Databases, Factual Nutrition Assessment
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Metabolomics meets machine learning: Longitudinal metabolite profiling in serum of normal versus overconditioned cows and pathway analysis.

Journal of dairy science Sep 20, 2019
This study aimed to investigate the differences in the metabolic profiles in serum of dairy cows that were normal or overconditioned when dried off for elucidating the pathophysiological reasons for the increased health disturbances commonly associat...
Machine Learning Parturition Pregnancy Biogenic Amines Female Physical Conditioning, Animal Parity Body Weight Animals Lactation Diet Energy Metabolism Cattle Milk Metabolomics
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Using machine learning to estimate herbage production and nutrient uptake on Irish dairy farms.

Journal of dairy science Aug 22, 2019
Nutrient management on grazed grasslands is of critical importance to maintain productivity levels, as grass is the cheapest feed for ruminants and underpins these meat and milk production systems. Many attempts have been made to model the relationsh...
Nutrients Poaceae Milk Dairying Cattle Animal Feed Lactation Ireland Machine Learning Female Animals Diet
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Using artificial neural networks to predict pH, ammonia, and volatile fatty acid concentrations in the rumen.

Journal of dairy science Aug 1, 2019
The objectives of this study were (1) to predict ruminal pH and ruminal ammonia and volatile fatty acid (VFA) concentrations by developing artificial neural networks (ANN) using dietary nutrient compositions, dry matter intake, and body weight as inp...
Male Diet Cattle Fatty Acids, Volatile Neural Networks, Computer Female Animals Ammonia Butyrates Propionates Acetates Rumen Hydrogen-Ion Concentration Linear Models
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Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

Artificial intelligence in medicine Jul 26, 2019
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) regulation that might result in short and long-term health complications and even death if not properly managed. Currently, there is no cure for diabet...
Patient-Specific Modeling Exercise Insulin Models, Biological Stress, Psychological Humans Data Mining Wearable Electronic Devices Mobile Applications Machine Learning Blood Glucose Self-Monitoring Blood Glucose Diabetes Mellitus, Type 1 Diet Feeding Behavior Hypoglycemic Agents
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HyperFoods: Machine intelligent mapping of cancer-beating molecules in foods.

Scientific reports Jul 3, 2019
Recent data indicate that up-to 30-40% of cancers can be prevented by dietary and lifestyle measures alone. Herein, we introduce a unique network-based machine learning platform to identify putative food-based cancer-beating molecules. These have bee...
Food Analysis Drug Repositioning Metabolic Networks and Pathways Food Databases, Factual Diet Neoplasms Antineoplastic Agents Humans Artificial Intelligence
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An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.

Nutrients Jun 8, 2019
BACKGROUND: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research out...
Biomedical Research Diet Data Accuracy Information Dissemination Biological Ontologies Terminology as Topic Nutritional Sciences Epidemiologic Methods Humans Data Analysis
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Duplicate portion sampling gives the most accurate iron intake estimate: Implications for iron status of female students.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition Apr 15, 2019
Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecting primarily women of childbearing age. Poor dietary iron intake is a major reason of ID. Accurate measurement of iron intake is of crucial importance...
Humans Iron, Dietary Adult Female Diet Young Adult Students Nutritional Status
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Food Volume Estimation Based on Deep Learning View Synthesis from a Single Depth Map.

Nutrients Dec 18, 2018
An objective dietary assessment system can help users to understand their dietary behavior and enable targeted interventions to address underlying health problems. To accurately quantify dietary intake, measurement of the portion size or food volume ...
Imaging, Three-Dimensional Portion Size Humans Diet Algorithms Energy Intake Nutrition Assessment Deep Learning
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Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.

Food research international (Ottawa, Ont.) Dec 5, 2018
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of body fat storage, and a link between diet, FFA and the intestinal microbiota seems to exist. Our ai...
Fatty Acids, Nonesterified Docosahexaenoic Acids Eicosapentaenoic Acid Faecalibacterium Male Female Middle Aged Humans Aged Diet Body Mass Index Machine Learning Young Adult Feces Algorithms Adult Gastrointestinal Microbiome Obesity Bifidobacterium
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