AIMC Topic: Nutritional Status
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Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.
The American journal of clinical nutrition
Dec 23, 2022
BACKGROUND: Food categorization and nutrient profiling are labor intensive, time consuming, and costly tasks, given the number of products and labels in large food composition databases and the dynamic food supply.
Machine learning modeling practices to support the principles of AI and ethics in nutrition research.
Nutrition & diabetes
Dec 2, 2022
BACKGROUND: Nutrition research is relying more on artificial intelligence and machine learning models to understand, diagnose, predict, and explain data. While artificial intelligence and machine learning models provide powerful modeling tools, failu...
Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.
Nutrients
Dec 1, 2022
Nutritional epidemiological studies show a triple burden of malnutrition with disparate prevalence across the coexisting ethnicities in Malaysia. To tackle malnutrition and related conditions in Malaysia, research in the new and evolving field of nut...
Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.
Computational intelligence and neuroscience
Oct 4, 2022
With the development of modern Internet technology, the health assessment model based on computer technology has gradually become a research hotspot. In the process of studying the health level of residents, exercise status and diet nutrition are imp...
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...
Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet.
Contrast media & molecular imaging
Mar 27, 2022
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wavelet transform algorithm based on computed tomography (CT) images in the nutritional care management...
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...
An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.
Nutrients
Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
A Review of Digital Innovations for Diet Monitoring and Precision Nutrition.
Journal of diabetes science and technology
Sep 1, 2021
This article provides an up-to-date review of technological advances in 3 key areas related to diet monitoring and precision nutrition. First, we review developments in mobile applications, with a focus on food photography and artificial intelligence...
Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools.
Clinical nutrition (Edinburgh, Scotland)
Aug 25, 2021
Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional therapy. Yet, despite the presence of many nutrition screening tools for use in the hospital setting, ther...
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