AIMC Topic: Diet

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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...
Humans Antineoplastic Agents Food Analysis Drug Repositioning Metabolic Networks and Pathways Food Artificial Intelligence Databases, Factual Diet Neoplasms
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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...
Humans Data Analysis Diet Biomedical Research Data Accuracy Terminology as Topic Information Dissemination Biological Ontologies Nutritional Sciences Epidemiologic Methods
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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...
Female Young Adult Adult Diet Humans Students Nutritional Status Iron, Dietary
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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 ...
Diet Energy Intake Deep Learning Imaging, Three-Dimensional Portion Size Humans Algorithms Nutrition Assessment
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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...
Eicosapentaenoic Acid Middle Aged Faecalibacterium Diet Gastrointestinal Microbiome Fatty Acids, Nonesterified Aged Humans Obesity Young Adult Feces Machine Learning Bifidobacterium Adult Body Mass Index Algorithms Docosahexaenoic Acids Male Female
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A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Male Cardiovascular Diseases Middle Aged Diet Aged Aged, 80 and over Young Adult Adult Diabetes Mellitus Follow-Up Studies Models, Statistical Blood Pressure Risk Assessment Adolescent Incidence Hypertension Prospective Studies Female Hypercholesterolemia Data Interpretation, Statistical Reproducibility of Results Humans Sex Factors Risk Factors Machine Learning Linear Models Pattern Recognition, Automated
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Comparative Performance Analysis of Support Vector Machine, Random Forest, Logistic Regression and k-Nearest Neighbours in Rainbow Trout (Oncorhynchus Mykiss) Classification Using Image-Based Features.

Sensors (Basel, Switzerland) Mar 29, 2018
The main aim of this study was to develop a new objective method for evaluating the impacts of different diets on the live fish skin using image-based features. In total, one-hundred and sixty rainbow trout () were fed either a fish-meal based diet (...
Support Vector Machine Oncorhynchus mykiss Animals Diet Logistic Models
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Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.

Scientific reports Feb 21, 2018
Computer-based technological innovation provides advancements in sophisticated and diverse analytical instruments, enabling massive amounts of data collection with relative ease. This is accompanied by a fast-growing demand for technological progress...
Hippurates Metabolome Principal Component Analysis Eating Data Mining Machine Learning Diet Metabolomics Humans
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Effects of heat stress and dietary zinc source on performance and mammary epithelial integrity of lactating dairy cows.

Journal of dairy science Dec 28, 2017
Dietary Zn and heat stress alter gut integrity in monogastric animals. However, effects of Zn on mammary epithelial integrity in heat-stressed lactating dairy cows have not been studied. Multiparous lactating Holstein cows (n = 72) were randomly assi...
Stress, Physiological Random Allocation Hot Temperature Mammary Glands, Animal Animals Female Diet Dietary Supplements Zinc Epithelial Cells Cattle Animal Feed Lactation
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Prevalence and possible factors associated with anaemia, and vitamin B and folate deficiencies in women of reproductive age in Pakistan: analysis of national-level secondary survey data.

BMJ open Dec 22, 2017
OBJECTIVE: To determine the prevalence and possible factors associated with anaemia, and vitamin B and folate deficiencies in women of reproductive age (WRA) in Pakistan.
Humans Female Young Adult Adult Food Supply Cross-Sectional Studies Obesity Nutritional Status Middle Aged Adolescent Regression Analysis Folic Acid Deficiency Diet Nutrition Surveys Pakistan Thinness Prevalence Vitamin B 12 Deficiency Rural Population Anemia Overweight
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