[Analysis of medication characteristics of traditional Chinese medicine in treating COVID-19 based on data mining].
Tiantian Fan, Yongcan Chen, Yu Bai, MA Feng-qi, Hengcang Wang, Yiping Yang, Jinxu Chen, Yuqi Lin
Abstract
OBJECTIVE: To analysis the medication characteristics of the prescriptions issued via open channel by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine in treating coronavirus disease 2019 (COVID-19). METHODS: We collected the data of traditional Chinese medicine related to treatment plans published by the National and Provincial Health Committee and the State Administration of Traditional Chinese Medicine from the start of COVID-19 outbreak to February 19, 2020. The frequency analysis, cluster analysis and association analysis were performed. RESULTS: Two core combinations and one novel formula were discovered in the study. CONCLUSIONS: syndrome of COVID-19. The main medication characteristics are clearing heat, entilating lung, removing toxicity and removing turbidity. It shows that removing toxicity and eliminating evil are the prescription thought in treating epidemic disease of traditional Chinese medicine.