The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research : Proceedings of a Workshop.

Format:

Book

Author/Creator:

Alper, Joe, author.

Contributor:

Vorosmarti, Alice.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (129 pages)

Edition:

1st ed.

Place of Publication:

Washington, D.C. : National Academies Press, 2024.

Summary:

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.

Contents:

Intro

Front Matter

Reviewers

Contents

Box and Figures

Acronyms and Abbreviations

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-309-71573-3

0-309-71571-7

OCLC:

1431980271