Food composition data is important for stakeholders and users active in the areas of food, nutrition and health. New challenges related to the quality of food composition data reflect …
Despite the accumulating evidence that increased consumption of ultra-processed food has adverse health implications, it remains difficult to decide what constitutes processed food …
As individuals seek increasingly individualised nutrition and lifestyle guidance, numerous apps and nutrition programmes have emerged. However, complex individual variations in …
Missing data are a common problem in most research fields and introduce an element of ambiguity into data analysis. They can arise due to different reasons: mishandling of …
In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of …
ObjectiveThe present study tested the combination of an established and a validated food- choice research method (the 'fake food buffet') with a new food-matching technology to …
The food sector is driven by a large number of actors, including primary producers, manufacturers, logistics providers, retailers, and consumers. At each phase of the food value …
MC Ocké, S Westenbrink, CTM van Rossum… - Journal of Food …, 2021 - Elsevier
Public health nutrition is the promotion of nutrition-related health of populations. This paper aims to show the essential role of food composition databases for public health nutrition …
D Feher, F Ibrahim, Z Cheng, V Schlegel… - Information Processing …, 2023 - Elsevier
Entity linking (EL), the task of automatically matching mentions in text to concepts in a target knowledge base, remains under-explored when it comes to the food domain, despite its …