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{ "item_title" : "The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research", "item_author" : [" National Academies of Sciences Engineeri", "Health and Medicine Division", "Food and Nutrition Board "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/30/971/570/0309715709_b.jpg", "price_data" : { "retail_price" : "23.00", "online_price" : "23.00", "our_price" : "23.00", "club_price" : "23.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research|National Academies of Sciences Engineeri

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

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Overview

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.

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Details

  • ISBN-13: 9780309715706
  • ISBN-10: 0309715709
  • Publisher: National Academies Press
  • Publish Date: May 2024
  • Dimensions: 8.83 x 5.92 x 0.48 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 128

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