| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 03024 | |
| Number of page(s) | 6 | |
| Section | Control Technology and Robotics Technology | |
| DOI | https://doi.org/10.1051/itmconf/20224703024 | |
| Published online | 23 June 2022 | |
Analysis of the efficacy of Chinese medicine in the treatment of covid-19 and the study of medication pattern
School of Computer Science and Technology, Qilu University of Technology, Jinan, 250301, China
* Corresponding author: renxq@qlu.edu.cn
In order to explore the efficacy and medication pattern of Chinese medicine in the treatment of COVID-19, we conducted statistics on the medication use of Chinese medicine based on some clinical data of novel coronavirus pneumonia (COVID-19) and related literature, and used the statistical method of frequency analysis to screen out the drugs with high frequency of use in patients with different types of novel coronavirus pneumonia (COVID-19). We used the statistical method of frequency analysis to screen out the core drugs with high frequency of use in patients with different types of novel coronavirus pneumonia (COVID-19) and the related main drug symptoms; Several drugs with good conversion effect were screened out by mean comparison method in terms of conversion time of drugs, and drug analysis was also conducted by data mining and other methods, so as to derive several groups of core drug combinations of Chinese medicine in the treatment of novel coronavirus pneumonia (COVID-19), and to provide data support and research directions for the effectiveness of Chinese medicine intervention in the treatment of novel coronavirus pneumonia (COVID-19).
Key words: Chinese medicine / Novel coronavirus pneumonia (COVID-19) / Mean value comparison / Data mining
© The Authors, published by EDP Sciences, 2022
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