Analysis of Professor Bai Yanping’s medication rules in the treatment of acne rosacea based on data mining
LUO Sha1 BAI Yanping2 CHEN Jiaqi1 ZHUANG Mingyue1 LAI Lixia1 LIU Jiayi1#br#
1.Beijing University of Chinese Medicine, Beijing 100029, China;
2.Department of Dermatology and Venereology, China-Japan Friendship Hospital, Beijing 100029, China
Abstract：Objective To analyze the Professor Bai Yanping’s medication rules in the treatment of acne rosacea based on data mining. Methods The traditional Chinese medicine prescriptions of Professor Bai Yanping in the treatment of acne rosacea in China-Japan Friendship Hospital from April 2010 to September 2020 were collected. The frequency, classification, efficacy, four nature, five flavour, and channel tropism of traditional Chinese medicine in the treatment of acne rosacea were analyzed descriptively. Association rules and cluster analysis were used to explore potential traditional Chinese medicine combinations, and the data were visualized through network graph. Results A total of 101 prescriptions and 156 traditional Chinese medicines were included in the study. Raw Glycyrrhizae Radix Et Rhizoma was the most frequently used traditional Chinese medicine, followed by Scutellariae Radix, Campsis Flos, Coptidis Rhizoma, Forsythiae Fructus, Angelicae Dahuricae Radix, Moutan Cortex, Atractylodis Macrocephalae Rhizoma, and Lonicerae Japonicae Flos. The four nature of drugs were mainly cold and warm, while the five flavours were mainly bitter, pungent, and sweet. The channel tropism were mainly lung, spleen, stomach, and liver channels. There were two traditional Chinese medicine combinations in the complex network diagram. The association rules were used to analyze 28 traditional Chinese medicine combinations. Two potential new prescriptions were identified by cluster analysis. Conclusion Professor Bai Yanping is good at treating acne rosacea with Wenqing Decoction, which is divided into three phases for treatment, using flowers skillfully to lightly propagating, guiding the channel affinity on the face to reach the disease.
罗莎1 白彦萍2 陈嘉琪1 庄明月1 来丽霞1 刘家邑1. 基于数据挖掘分析白彦萍教授治疗玫瑰痤疮的用药规律[J]. 中国医药导报, 2022, 19(26): 120-124.
LUO Sha1 BAI Yanping2 CHEN Jiaqi1 ZHUANG Mingyue1 LAI Lixia1 LIU Jiayi1. Analysis of Professor Bai Yanping’s medication rules in the treatment of acne rosacea based on data mining. 中国医药导报, 2022, 19(26): 120-124.
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