The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research: Proceedings of a Workshop (National … Medicine: Proceedings of a Workshop) (PDF)

By and Medicine National Academies of Sciences, Engineering, Health and Medicine Division, Food and Nutrition Board, Joe Alper, Alice Vorosmarti
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.

Product Details

Publisher ‏ : ‎ National Academies Press (May 24, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 128 pages
ISBN-10 ‏ : ‎ 0309715709
ISBN-13 ‏ : ‎ 978-0309715706