Time to Deliver in 2018: WHO Independent High Level Commission on Noncommunicable Diseases (NCDs)
World Public Health Nutrition Association
doaj +1 more source
NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations [PDF]
With diet and nutrition apps reaching 1.4 billion users in 2022 [1], it's not surprise that popular health apps, MyFitnessPal, Noom, and Calorie Counter, are surging in popularity. However, one major setback [2] of nearly all nutrition applications is that users must enter food data manually, which is time-consuming and tedious. Thus, there has been an
arxiv
The Relation of Nutritional Levels to the Growth of Populations of Tribolium Confusum Duval I. Growth of Larval, Pupal, and Adult Populations in Cornmeal and in Cornmeal Supplemented with Yeast [PDF]
Ralph J. Bushnell
openalex +1 more source
Evaluating experiences in a digital nutrition education program for people with multiple sclerosis: a qualitative study [PDF]
Background Multiple sclerosis (MS) is a complex immune-mediated disease with no currently known cure. There is growing evidence to support the role of diet in reducing some of the symptoms and disease progression in MS, and we previously developed and tested the feasibility of a digital nutrition education program for people with MS.
arxiv
NUTRIVISION: A System for Automatic Diet Management in Smart Healthcare [PDF]
Maintaining health and fitness through a balanced diet is essential for preventing non communicable diseases such as heart disease, diabetes, and cancer. NutriVision combines smart healthcare with computer vision and machine learning to address the challenges of nutrition and dietary management.
arxiv
Nutrition Teaching in the Courses Sponsored by the Hotel and Catering Institute [PDF]
John Fuller
openalex +1 more source
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network [PDF]
Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. The deep learning methods have proven its superior performances in the automated detection of plant diseases and nutrition deficiencies from visual symptoms in leaves. This article proposes a
arxiv
Reddit's Appetite: Predicting User Engagement with Nutritional Content [PDF]
The increased popularity of food communities on social media shapes the way people engage with food-related content. Due to the extensive consequences of such content on users' eating behavior, researchers have started studying the factors that drive user engagement with food in online platforms.
arxiv
Nutritional status of rice plant on differet fertilizer treatments indicated by leaf analysis
Giichi Hasegawa, Yasushi UEYAMA
openalex +2 more sources
Retracted: Ghanaians Might Be at Risk of Inadequate Dietary Intake of Potassium
Journal of Nutrition and Metabolism
doaj +1 more source