Research on big data and health culture of traditional Chinese Medicine science popularization new measures

DOI

10.2991/assehr.k.201214.623How to use a DOI?

Keywords

big data, Chinese medicine health culture, science popularization, measures

Abstract

The paper takes “Big data + Science popularization” as the internal logic of the research, Firstly, through the objective bibliometric method and big data analysis, we can judge the current situation of Chinese medicine health culture popularization, predict the future research hotspots, and the opportunities and challenges faced;Next, the paper explores the new measures, theoretical value and practical significance of TCM health culture popularization.The paper thinks that using new technology means to carry out SWOT analysis and classification of big data in the popularization of Chinese medicine health culture, and vigorously promote the Internet plus science popularization mode on this basis, and develop the new status of health culture communication of Chinese medicine(, etc., will promote the continuous and unified development of the theory research and Practice Research of Chinese medicine health culture.The new status include new formats of agricultural development of TCM, new formats of TCM education industry, and new formats of TCM cultural tourism industry.The conclusion of the paper is that the “marriage” of culture and science and technology will provide powerful guidance for the development and application of new measures of health culture popularization of traditional Chinese medicine.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Bo Li
PY  - 2020
DA  - 2020/12/16
TI  - Research on big data and health culture of traditional Chinese Medicine science popularization new measures
BT  - Proceedings of the 2020 3rd International Conference on Humanities Education and Social Sciences (ICHESS 2020)
PB  - Atlantis Press
SP  - 844
EP  - 848
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.623
DO  - 10.2991/assehr.k.201214.623
ID  - Li2020
ER  -