论文标题
使用传统中药对COVID-19的多元化社区预防进行智能优化
Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine
论文作者
论文摘要
中医（TCM）在预防和控制新型冠状病毒肺炎（Covid-19）中发挥了重要作用，社区预防已成为降低传播风险和保护种群的最重要的角色。但是，大多数社区都为所有居民使用统一的预防计划，这违反了TCM的“基于综合征分化的治疗”，并限制了预防的有效性。在本文中，我们提出了一种智能优化方法，以开发为社区居民开发多元化的TCM预防计划。首先，我们使用模糊的聚类方法根据现代医学和TCM健康特征来分裂人群。然后，我们使用一种交互式优化方法，其中TCM专家为不同群集开发了不同的TCM预防程序，并且使用启发式算法来优化资源约束下的程序。我们证明了该方法的计算效率，并报告了大流行期间，在中国省省省省12个社区的Covid-19预防中，成功应用了其在基于TCM的预防中。
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 spread risk and protecting populations. However, most communities use a uniform 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 its successful application to TCM-based prevention of COVID-19 in 12 communities in Zhejiang province, China, during the peak of the pandemic.
