The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research: Proceedings Of A Workshop
By: and and
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- Synopsis
- 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.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 128 Pages
- ISBN-13:
- 9780309715737
- Publisher:
- The National Academies Press
- Date of Addition:
- 08/01/24
- Copyrighted By:
- the National Academy of Sciences
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by National Academies of Sciences, Engineering, and Medicine
- by Health and Medicine Division
- by Food and Nutrition Board
- in Nonfiction