Name
Title | ||
|---|---|---|
Intelligent Optimization of Diversified Community Prevention of COVID-19 Using Traditional Chinese Medicine |
Abstract | ||
|---|---|---|
Traditional Chinese medicine (TCM) has played an important role in the prevention and control of the novel coronavirus pneumonia (COVID-19), and community prevention has become the most essential part in reducing the risk of spread and protecting public health. However, most communities use a unified TCM prevention program for all residents, which violates the "treatment based on syndrome differentiation" principle of TCM and limits the effectiveness of prevention. In this paper, we propose an intelligent optimization method to develop diversified TCM prevention programs for community residents. First, we use a fuzzy clustering method to divide the population based on both modern medicine and TCM health characteristics; we then use an interactive optimization method, in which TCM experts develop different TCM prevention programs for different clusters, and a heuristic algorithm is used to optimize the programs under the resource constraints. We demonstrate the computational efficiency of the proposed method, and report the application results of the method in TCM-based prevention of COVID-19 in 12 communities in Zhejiang province, China, during the peak of the pandemic. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MCI.2020.3019899 | IEEE Computational Intelligence Magazine |
Keywords | DocType | Volume |
novel coronavirus pneumonia,protecting public health,unified TCM prevention program,treatment based on syndrome differentiation principle,intelligent optimization method,diversified TCM prevention programs,community residents,fuzzy clustering method,interactive optimization method,TCM experts,TCM-based prevention,COVID-19,diversified community prevention,traditional Chinese medicine,heuristic algorithm | Journal | 15 |
Issue | ISSN | Citations |
4 | 1556-603X | 2 |
PageRank | References | Authors |
0.37 | 18 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Jun Zheng | 1 | 2 | 0.37 |
| Si-Lan Yu | 2 | 2 | 0.37 |
| Jun-Chao Yang | 3 | 2 | 0.37 |
| Tie-Er Gan | 4 | 2 | 0.37 |
| Qin Song | 5 | 47 | 3.10 |
| Jun Yang | 6 | 6 | 3.59 |
| Mumtaz Karatas | 7 | 28 | 8.64 |