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Nutritional Status

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Design of Residents' Sports Nutrition Data Monitoring System Based on Genetic Algorithm.

Computational intelligence and neuroscience
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...

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
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
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...

[New definition of precision nutrition: concept and implementation].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
The following 10 to 15 years will be a key strategic period for China to improve national nutrition and health. As people's understanding of health and disease continues to deepen, health was defined as a series of signs that can maintain physiologic...

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

Molecular nutrition & food research
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...

Natural language processing and machine learning approaches for food categorization and nutrition quality prediction compared with traditional methods.

The American journal of clinical nutrition
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.

[Application and prospect of digital technology on personalized precision nutrition].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing incidence of chronic diseases and people's pursuit of a healthy life expectancy, modern nutrition, which is a core element in the prevention and treatmen...

Implementation of Nutrigenetics and Nutrigenomics Research and Training Activities for Developing Precision Nutrition Strategies in Malaysia.

Nutrients
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...

Machine learning modeling practices to support the principles of AI and ethics in nutrition research.

Nutrition & diabetes
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...