期刊
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
卷 15, 期 4, 页码 62-73出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCI.2020.3019899
关键词
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资金
- National Natural Science Foundation of China [61872123]
- Zhejiang Provincial Natural Science Foundation [LR20F030002, LQY20F030001]
- Zhejiang Provincial Emergency Project for Prevention & Treatment of New Coronavirus Pneumonia [2020C03126]
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.
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