| Issue |
E3S Web Conf.
Volume 271, 2021
2021 2nd International Academic Conference on Energy Conservation, Environmental Protection and Energy Science (ICEPE 2021)
|
|
|---|---|---|
| Article Number | 04046 | |
| Number of page(s) | 4 | |
| Section | Environmental Materials and Solid Waste Recycling Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202127104046 | |
| Published online | 15 June 2021 | |
Knowledge mapping omni channel system for the diagnosis and the treatment of traditional Chinese medicines based on an identification analysis
1 Guangdong Institute of Intelligent Manufacturing, Guangdong Key Laboratory of Modern Control Technology, Guangzhou, China
2 Zhongshan citizen youtang Medical Co., Ltd, Zhongshan , China
3 Xinjiang Production and Construction Corps Key Laboratory of Modern Agricultural Machinery, Shihezi University, China
4 Cloud Computing Center Chinese Academy of Sciences, Dongguan, China
* Corresponding author: zhangjing@minyoutang.cn
* rh.hu@giim.ac.com
In this study, centring on the bases of TCM diagnosis and treatment (e.g., Guangzhou, Shenzhen, Zhuhai, Foshan, Huizhou, Dongguan and Zhongshan), the digital control level of the whole life cycle of TCM diagnosis and treatment was significantly elevated. In addition, the online monitoring of diagnosis and treatment status and the tracing of the whole diagnosis and treatment process were optimized, as an attempt to achieve the safety and control of diagnosis and treatment, as well as to rapidly and efficiently research and develop TCM products. The research and development cycle of TCM products was shortened by employing the technology of identification analysis and the non-structured database of Neo 4. Moreover, the platform for R & D and health management of Chinese medicine was established and improved, feedback of the diagnosis and treatment effect data was given timely, and the R & D optimization of new Chinese medicine products was supported.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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