AIMC Topic: Diet

Clear Filters Showing 51 to 60 of 145 articles

Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era.

Nutrients Jul 31, 2022
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary intake of essential macro-and micro-nutrients for precision nutrition. We, therefore, validated the accuracy of an internet-based app against the Nutr...
Nutrients Carbohydrates Telemedicine United States Internet Vitamin B 12 United States Department of Agriculture Artificial Intelligence Diet Energy Intake
View on PubMed DOI

We got nuts! use deep neural networks to classify images of common edible nuts.

Nutrition and health Jul 21, 2022
BACKGROUND: Nuts are nutrient-dense foods that contribute to healthier eating. Food image datasets enable artificial intelligence (AI) powered diet-tracking apps to help people monitor daily eating patterns.
Neural Networks, Computer Artificial Intelligence Diet Humans Arachis Smartphone Deep Learning Photography Mobile Applications Image Processing, Computer-Assisted Nuts
View on PubMed DOI

Determining the effective factors in predicting diet adherence using an intelligent model.

Scientific reports Jul 19, 2022
Adhering to a healthy diet plays an essential role in preventing many nutrition-related diseases, such as obesity, diabetes, high blood pressure, and other cardiovascular diseases. This study aimed to predict adherence to the prescribed diets using a...
Body Mass Index Obesity Diet, Healthy Male Diet Humans Neural Networks, Computer Female
View on PubMed DOI

Genetics and Epigenetics in Personalized Nutrition: Evidence, Expectations, and Experiences.

Molecular nutrition & food research Jul 10, 2022
With the presentation of the blueprint of the first human genome in 2001 and the advent of technologies for high-throughput genetic analysis, personalized nutrition (PN) becomes a new scientific field and the first commercial offerings of genotype-ba...
Epigenesis, Genetic Motivation Nutritional Status Humans Artificial Intelligence Diet
View on PubMed DOI

The immuneoreaction and antioxidant status of Chinese mitten crab (Eriocheir sinensis) involve protein metabolism and the response of mTOR signaling pathway to dietary methionine levels.

Fish & shellfish immunology Jul 8, 2022
To study the effects of dietary methionine on growth performance, immunity, antioxidant capacity, protein metabolism, inflammatory response and apoptosis factors in Chinese mitten crabs (Eriocheir sinensis). Five diets with different methionine level...
Sirolimus Brachyura China Animals Mammals Antioxidants Methionine Immunity, Innate Diet Dietary Supplements Signal Transduction TOR Serine-Threonine Kinases Animal Feed
View on PubMed DOI

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach.

Nutrition & diabetes May 27, 2022
BACKGROUND: Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, the identification of sub-populations in epidemiological datasets remains unexplored. We here focus on the...
Obesity Unsupervised Machine Learning Diet Diabetes Mellitus, Type 2 India Humans
View on PubMed DOI

Intake monitoring in free-living conditions: Overview and lessons we have learned.

Appetite May 26, 2022
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem...
Meals Humans Artificial Intelligence Algorithms Diet Feeding Behavior
View on PubMed DOI

Prospects and Pitfalls of Machine Learning in Nutritional Epidemiology.

Nutrients Apr 20, 2022
Nutritional epidemiology employs observational data to discover associations between diet and disease risk. However, existing analytic methods of dietary data are often sub-optimal, with limited incorporation and analysis of the correlations between ...
Models, Statistical Artificial Intelligence Machine Learning Diet
View on PubMed DOI

Natural language processing: A window to understanding skincare trends.

International journal of medical informatics Jan 24, 2022
BACKGROUND: Reddit is a popular social media discussion forum. Reddit data can be analyzed with natural language processing techniques to gain insights into public health questions by tracking frequency of discussion on relevant topics over time and ...
Humans Diet Social Media Natural Language Processing
View on PubMed DOI

Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Scientific reports Jan 7, 2022
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic image-based food est...
Early Diagnosis Reproducibility of Results Diet Malnutrition Automation Photography Deep Learning Eating Nutritional Status Humans Meals Image Processing, Computer-Assisted Nursing Homes Nutritive Value Predictive Value of Tests Long-Term Care
View on PubMed DOI
Popular Topics
Recent Journals