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Updated: Aug 13, 2025

Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
Food composition databases in the era of Big Data: Vegetable oils as a case study
Henrique Ferraz de Arruda1,2, Alberto Aleta1,3,4, Yamir Moreno1,2,3,4
1ISI Foundation, Turin, Italy.
Abstract:
Understanding the population's dietary patterns and their impacts on health requires many different sources of information. The development of reliable food composition databases is a key step in this pursuit. With them, nutrition and health care professionals can provide better public health advice and guide society toward achieving a better and healthier life. Unfortunately, these databases are full of caveats. Focusing on the specific case of vegetable oils, we analyzed the possible obsolescence of the information and the differences or inconsistencies among databases. We show that in many cases, the information is limited, incompletely documented, old or unreliable. More importantly, despite the many efforts carried out in the last decades, there is still much work to be done. As such, institutions should develop long-standing programs that can ensure the quality of the information on what we eat in the long term. In the face of climate change and complex societal challenges in an interconnected world, the full diversity of the food system needs to be recognized and more efforts should be put toward achieving a data-driven food system.
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