Literature DB >> 32281332

[Study on medication regularity of traditional Chinese medicine in treatment of COVID-19 based on data mining].

Zheng Zhou1, Chun-Sheng Zhu1, Bing Zhang2.   

Abstract

The coronavirus disease 2019(COVID-19) is developing rapidly and posing great threat to public health. There is no specific medicine available for treating the disease. Luckily, traditional Chinese medicine has played a positive role in the fighting against COVID-19. In this paper, We collected and sorted the prescriptions of modern Chinese medicine for COVID-19 released by national government, different provinces, autonomous regions and municipalities, as well as online databases, such as CNKI, WanFang medical network, and VIP database. These prescriptions were combined with the inheritance of traditional Chinese medicine auxiliary V2.5, and the complex system entropy clustering method was used to determine the association rules and frequency of single drug and drug combination in the prescription. In the end, 96 effective prescriptions were included. Among them, the four properties were mainly concentrated in temperature, cold and level, the five tastes were mainly concentrated in bitter, hot and sweet, and the meridians were mainly concentrated in lung, stomach and spleen. The high-frequency drugs were Glycyrrhizae Radix et Rhizoma, Armeniacae Semen Amarum, Gypsum Fibrosum, etc., and the high-frequency combinations are Gypsum Fibrosum-Armeniacae Semen Amarum, Gypsum Fibrosum-Glycyrrhizae Radix et Rhizoma, Armeniacae Semen Amarum-Glycyrrhizae Radix et Rhizoma, the core combinations are Lepidii Semen-Armeniacae Semen Amarum-Gypsum Fibrosum, Pogostemonis Herba-Zingiberis Rhizoma Recens-Magnoliae Officinalis Cortex, Ophiopogonis Radix-Armeniacae Semen Amarum-Scutellariae Radix and so on. Form new prescriptions Lepidii Semen, Armeniacae Semen Amarum, Gypsum Fibrosum, Pogostemonis Herba, Zingiberis Rhizoma Recens, Magnoliae Officinalis Cortex. Ophiopogonis Radix, Armeniacae Semen Amarum, Scutellariae Radix, Schisandrae Sphenantherae Fructus, Panacis Quinquefolii Radix. From the medicinal properties to high-frequency drugs and new prescriptions, it could be seen that the overall treatment of COVID-19 by traditional Chinese medicine was to strengthen body resistance, eliminate pathogenic factors, and give attention to Qi and Yin.

Entities:  

Keywords:  2019-nCoV; association rules; clustering algorithm; coronavirus disease 2019(COVID-19); data mining

Mesh:

Substances:

Year:  2020        PMID: 32281332     DOI: 10.19540/j.cnki.cjcmm.20200220.502

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  6 in total

Review 1.  Modalities and Mechanisms of Treatment for Coronavirus Disease 2019.

Authors:  Zhihong Zuo; Ting Wu; Liangyu Pan; Chenzhe Zuo; Yingchuo Hu; Xuan Luo; Liping Jiang; Zanxian Xia; Xiaojuan Xiao; Jing Liu; Mao Ye; Meichun Deng
Journal:  Front Pharmacol       Date:  2021-02-08       Impact factor: 5.810

2.  Treatment efficacy analysis of traditional Chinese medicine for novel coronavirus pneumonia (COVID-19): an empirical study from Wuhan, Hubei Province, China.

Authors:  Erdan Luo; Daiyan Zhang; Hua Luo; Bowen Liu; Keming Zhao; Yonghua Zhao; Ying Bian; Yitao Wang
Journal:  Chin Med       Date:  2020-04-15       Impact factor: 5.455

Review 3.  Potential Therapeutic Effect of Traditional Chinese Medicine on Coronavirus Disease 2019: A Review.

Authors:  Qin Qiu; Yuge Huang; Xiaohua Liu; Fangfang Huang; Xiaoling Li; Liao Cui; Hui Luo; Lianxiang Luo
Journal:  Front Pharmacol       Date:  2020-11-09       Impact factor: 5.810

4.  Chemical composition and pharmacological mechanism of ephedra-glycyrrhiza drug pair against coronavirus disease 2019 (COVID-19).

Authors:  Xiaoling Li; Qin Qiu; Mingyue Li; Haowen Lin; Shilin Cao; Qu Wang; Zishi Chen; Wenhao Jiang; Wen Zhang; Yuge Huang; Hui Luo; Lianxiang Luo
Journal:  Aging (Albany NY)       Date:  2021-02-13       Impact factor: 5.682

5.  Exploring the role of Xingren on COVID-19 based on network pharmacology and molecular docking.

Authors:  Maoru Wang; Bin Yu; Jisheng Wang; Yu Wang; Libo Liang
Journal:  J Food Biochem       Date:  2022-08-07       Impact factor: 3.654

Review 6.  Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China.

Authors:  Jiancheng Dong; Huiqun Wu; Dong Zhou; Kaixiang Li; Yuanpeng Zhang; Hanzhen Ji; Zhuang Tong; Shuai Lou; Zhangsuo Liu
Journal:  J Med Syst       Date:  2021-07-24       Impact factor: 4.460

  6 in total

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