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

Autor:	National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Food and Nutrition Board, Joe Alper, Alice Vorosmarti
Předmět:	Nutrition--Research--Congresses, Equity, Data privacy, Food--Health--Research--Congresses, Artificial intelligence--Medical applications--Congresses, Machine learning--Research--Congresses, Deep learning (Machine learning)--Research--Congresses, Food science, Deep learning (Machine learning), Artificial intelligence
Kategorie:	MEDICAL / Nutrition, COMPUTERS / General, COMPUTERS / Information Technology
Popis:	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.
Databáze:	eBook Index
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