Name: The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research. Proceedings of a Workshop
Price: 740.00 UYU
Availability: InStock
Author: Engineering, and Medicine National Academies of Sciences;Joe Alper;Alice Vorosmarti;Health and Medicine Division;Food and Nutrition Board
ISBN: 9780309715706

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

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

Formato

Libro Físico

Editorial

National Academies Press

Autor

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

Año

2024

N° páginas

128

Encuadernación

Tapa Blanda

Dimensiones

22.90 x 15.20 x 2.50 cm

ISBN13

9780309715706

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

Engineering, And Medicine National Academies Of Sciences;Joe Alper;Alice Vorosmarti;Health And Medicine Division;Food And Nutrition Board (Autor) · National Academies Press · Tapa Blanda

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

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 ContentsFront Matter1 Introduction2 Setting the Stage3 Applications and Lessons Learned4 Capacity Building5 Potential Applications of AI to Large-Scale Food and Nutrition Initiatives6 Final Discussion and SynthesisReferencesAppendix A: Workshop AgendaAppendix B: Biographical Sketches of the Speakers and Moderators