Research and Application Progress of Big Data and Dietary Nutrition Health in China

TANG Xingping; ZHOU Bing; YANG Wenqing; LIU Tianxia; XU Guofu; MA Zhe; WU Wendou

doi:10.13386/j.issn1002-0306.2022030212

Volume 44 Issue 2

Jan. 2023

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Science and Technology of Food Industry > 2023 > 44(2): 19-28. > DOI: 10.13386/j.issn1002-0306.2022030212

TANG Xingping, ZHOU Bing, YANG Wenqing, et al. Research and Application Progress of Big Data and Dietary Nutrition Health in China[J]. Science and Technology of Food Industry, 2023, 44(2): 19−28. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022030212.

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Research and Application Progress of Big Data and Dietary Nutrition Health in China

1.
College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China
2.
College of Science, Yunnan Agricultural University, Kunming 650201, China
3.
College of Big Data, Yunnan Agricultural University, Kunming 650201, China

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Received Date: March 16, 2022
Available Online: November 09, 2022

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Abstract

Abstract

As an emerging information technology, big data has been widely used in all aspects of life. As for the application of big data technology in dietary nutrition and health, it revolves mainly around the combination of nutrition, medicine and other relevant disciplines, during which big data technology is adopted to mine and analyze data for the provision of personalized information services tailored to personal physiological indicators. With the core collection of Web of Science and CNKI Chinese database as data sources, and VOSviewer is applied in this paper to analyze the annual volume of publication and the keywords of relevant literature on big data as well as dietary nutrition and health published over the past 10 years. Then, the application of big data technology in the field of dietary nutrition and health and the challenges arising from this field are summarized and analyzed. Finally, the future trend of big data research in the field of dietary nutrition and health is indicated, which would provide guidance for the in-depth research and application of big data technology in this field.
- big data application,
- dietary nutrition,
- nutrition and health,
- health management

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