: National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Food and Nu
: Joe Alper, Alice Vorosmarti
: Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research Proceedings of a Workshop
: National Academies Press
: 9780309715737
: 1
: CHF 40.80
:
: Informatik, EDV
: English
: 128
: DRM
: PC/MAC/eReader/Tablet
: ePUB
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are promising tools that can be used to develop algorithms to better understand and predict interactions between food- and nutrition-related data and health outcomes. Understanding that additional research is needed to identify areas where AI/ML is likely to have an impact, the National Academies Food and Nutrition Board hosted a public workshop in October 2023 to explore the future benefits and limitations of integrating big data and AI/ML tools into nutrition research. Participants also discussed issues related to diversity, equity, inclusion, bias, and privacy and the appropriate use of evidence generated from these new methods.