da13998442860的个人博客分享 http://blog.sciencenet.cn/u/da13998442860

博文

[转载]摘译“基于数据挖掘探讨340例新冠肺炎的中医用药规律”,黄威03

已有 1985 次阅读 2020-8-10 17:18 |系统分类:博客资讯|文章来源:转载

The Chinese herbal medicine data of 340 discharged patients of COVID-19 were statistically analyzed for their efficacy; Chinese medicines of clearing heat and detoxification were most frequently used for 424 times, followed by those of drying dampness and eliminating phlegm. See Table 3 and Figure 4.

The frequency statistics was conducted for the TCM formula used by 340 discharged patients of COVID-19. Lung cleansing & detoxifying decoction was most frequently administered for 78 times. See Table 4 and Figure 5.

The statistical analysis of four natures of TCM used by 340 discharged patients of COVID-19 shows that among Chinese herbal medicines against COVID-19, the warm drugs were most frequently administered for 1,656 times; see Table 5. In the radar chart of frequency of four natures of TCM, the figures indicate the use frequency of drugs with corresponding drug nature, as shown in Figure 6.

The statistical analysis of five flavors of TCM used by 340 discharged patients of COVID-19 shows that among Chinese herbal medicines against COVID-19, the sweet drugs were most frequently administered for 2,196 times (Table 6). In the radar chart of use frequency of five flavors of TCM, the figures indicate the use frequency of herbs with corresponding flavor, as shown in Figure 7.

The statistical analysis of meridian tropism of TCM used by 340 discharged patients of COVID-19 shows that among Chinese herbal medicines against COVID-19, the lung meridian drugs were most frequently administered for 2,893 times (Table 7). In the frequency radar chart of meridian tropism of TCM, the figures show the use frequency of drugs with corresponding meridian tropism, as shown in Figure 8.



https://blog.sciencenet.cn/blog-3431719-1245790.html

上一篇:[转载]摘译“基于数据挖掘探讨340例新冠肺炎的中医用药规律”,黄威02
下一篇:[转载]摘译“基于数据挖掘探讨340例新冠肺炎的中医用药规律”,黄威04
收藏 IP: 119.109.29.*| 热度|

0

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2024-9-27 07:19

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部