The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research

Proceedings of a Workshop

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

Joe Alper, Alice Vorosmarti (Herausgeber)

Buch | Softcover

128 Seiten

2024
National Academies Press (Verlag)
978-0-309-71570-6 (ISBN)

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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.

Table of Contents

Front Matter
1 Introduction
2 Setting the Stage
3 Applications and Lessons Learned
4 Capacity Building
5 Potential Applications of AI to Large-Scale Food and Nutrition Initiatives
6 Final Discussion and Synthesis
References
Appendix A: Workshop Agenda
Appendix B: Biographical Sketches of the Speakers and Moderators

Erscheinungsdatum	21.05.2024
Verlagsort	Washington
Sprache	englisch
Maße	152 x 229 mm
Themenwelt	Mathematik / Informatik ► Informatik
Themenwelt	Medizin / Pharmazie ► Gesundheitsfachberufe ► Diätassistenz / Ernährungsberatung
ISBN-10	0-309-71570-9 / 0309715709
ISBN-13	978-0-309-71570-6 / 9780309715706
Zustand	Neuware