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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语言 英语 ● 格式 EPUB ● 网页 128 ● ISBN 9780309715737 ● 编辑 Alice Vorosmarti & Joe Alper ● 出版者 National Academies Press ● 发布时间 2024 ● 下载 3 时 ● 货币 EUR ● ID 9585953 ● 复制保护 Adobe DRM
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