Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research (eBook)

Proceedings of a Workshop

Food and Nutrition Board, Health and Medicine Division, and Medicine National Academies of Sciences Engineering (Autoren)

Alice Vorosmarti, Joe Alper (Herausgeber)

eBook Download: EPUB

2024
128 Seiten
National Academies Press (Verlag)
978-0-309-71573-7 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 24.4.2024
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Medizin / Pharmazie ► Gesundheitsfachberufe ► Diätassistenz / Ernährungsberatung
• ISBN-10: 0-309-71573-3 / 0309715733
• ISBN-13: 978-0-309-71573-7 / 9780309715737