Abstract:Objective Based on data mining analysis of Professor Zhou Shaohua’s clinical medication for insomnia. Methods Prescription information of insomnia patients in Professor Zhou Shaohua’s outpatient department of Xiyuan Hospital from January 2016 to December 2022 was collected, and statistical analysis, rule analysis, and cluster analysis of traditional Chinese medicine inheritance computing platform were used to analyze drug frequency, drug class, drug properties, channel normalization, and core drugs. Results A total of 177 prescriptions were involved in this article, included 207 traditional Chinese medicine flavors. The top three drugs used most were stir-frying Semtnziziphi Spinosae, Fuzhuan, and Rodix Angelicae Sinensis. The main drugs were deficiency tonic, heat clearing, and tranquilizing drugs. The four nature of drugs were cold, warm, and calm, and the five flavours were sweet, bitter and pungent. Conclusion Professor Zhou’s treatment of insomnia is based on the principle of calming the heart and calming the spirit, regulating qi and tonifying deficiency, clearing heat and nourishing blood, treating the five viscera together, supplementing Qi and blood, paying attention to drug safety, and the effect is remarkable, which can provide reference for traditional Chinese medicine treatment of insomnia.
宫晓 王牧仁 郭春莉. 基于数据挖掘探讨周绍华教授治疗失眠的用药规律[J]. 中国医药导报, 2023, 20(36): 32-36.
GONG Xiao WANG Muren GUO Chunli. Discussing the medication rule of Professor Zhou Shaohua in treating of insomnia based on data mining. 中国医药导报, 2023, 20(36): 32-36.
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