A Study on the Communication Ecosystem of TCM Health Big Data Based on Cloud Computing

Author:

Cheng Haitao1,Li JunWei2,Ye ChunXia3,Yan Feng34,Wan ChunMiao5,Li Bin13ORCID

Affiliation:

1. Department of Communication and Media, Guangzhou Huashang College, Guangzhou, China

2. Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand

3. Zhuhai City Polytechnic, Zhuhai, China

4. City University of Macau, Macau, China

5. College of Traditional Chinese Medicine Jinan University, Guangzhou, China

Abstract

The rapid advancement of information technology, particularly big data and artificial intelligence technologies, has presented unprecedented opportunities and challenges to people from many walks of life, including Chinese medicine. How to combine traditional Chinese medicine (TCM) with artificial intelligence technology in the context of big data, as well as how to advance the theory of traditional Chinese medicine toward the world, is the question that needs to be answered. This study proposed the processing flow and overall framework of TCM health using big data and presented a feasible solution for the management and application of TCM big data. Next, the TCM Health Big Data ecosystem with cloud computing as the core technology is proposed to provide personal scientific and effective health management, protect the body from diseases, improve the physical and mental health, and improve the ability to adapt to the natural and social environment. The study summarizes the TCM cultural communication and health management using big data and achieves the goal of preventive treatment of disease.

Funder

Philosophy and Social Science Foundation of Guangdong

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference30 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3