Abstract：Objective To explore the medication experience of Professor Sun Shidao of Shanghai famous traditional Chinese medicine physician in the treatment of atopic dermatitis (AD). Methods The prescriptions treated with AD of Professor Sun Shidao in Special Outpatient Department of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from January 2015 to January 2018 were collected. Based on the software of traditional Chinese medicine inheritance support system, unsupervised data mining methods such as association rule algorithm and entropy clustering of complex system were adopted. The prescription characteristics and medication rules of Professor Sun Shidao in the treatment of AD were analyzed. Results A total of 274 prescriptions were included in this study, involving 189 kinds of medicine. The drugs used more than 70 times included 18 kinds of medicine such as Cortex Moutan Radicis, Radix Sophorae Flavescentis, Rhizoma Anemarrhenae, Cortex Dictamni, Radix Scutellariae, Radix Scrophulariae, Rhizoma Smilacis Glabrae. The character of highest frequency used medicine mainly concentrated in cold, bitter, and liver channel of traditional Chinese medicine meridian. Seventeen drug combinations with a confidence level greater than 0.98 were obtained, eight core drug combinations were extracted, and four potential new therapeutic prescriptions were mined. Conclusion Professor Sun Shidao treats AD mainly by clearing heat, cooling blood and removing dampness, supplemented by invigorating spleen and benefiting qi, dispelling pathogenic wind and relieving itching.
马欣 张慧敏 丁佩军. 基于数据挖掘探讨孙世道教授治疗特应性皮炎的用药规律[J]. 中国医药导报, 2020, 17(36): 146-149.
MA Xin ZHANG Huimin DING Peijun. Exploration on the medication rule of Professor Sun Shidao in the treatment of atopic dermatitis based on data mining. 中国医药导报, 2020, 17(36): 146-149.
2020, Vol. 17 
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