Analysis of Professor Yuan Zhaokai′s prescription for insomnia based on data mining
QIU Hong1 LI Xinchun2 LIU Ningning1 CHENG Bin1 ZHONG Senjie1 YANG Meng1 HU Zhixi1
1.College of Traditional Chinese Medicine, Hu′nan University of Chinese Medicine, Hu′nan Province, Changsha 410208, China;
2.Yuan Zhaokai′s Master Heritage Studio, Jinrun Hospital of Traditional Chinese Medicine, Hu′nan Province, Changsha 410007, China
Abstract：Objective To analyze the rules of Professor Yuan Zhaokai′s prescriptions for insomnia by data mining. Methods Prescriptions of patients diagnosed as “insomnia” were collected from Yuan Zhaokai′s Master Heritage Studio of Jinrun Hospital of Traditional Chinese Medicine from January 2018 to December 2019. The methods such as association rule, entropy clustering of complex systems were used to analyze the law of medication in prescriptions. Results A total of 206 prescriptions were included, involving 92 traditional Chinese medicine and generating 22 high-frequency drugs (frequency greater than 40 times). In terms of four nature of drugs, were mainly flat and cold, and the five flavors were mainly sweet, bitter and pungent. In the meridian tropism, the drugs of heart channel and liver channel were mainly used. Forty groups of high-frequency drug combinations, 54 drug association rules and three potential new prescriptions were excavated. Conclusion Professor Yuan Zhaokai treats insomnia mainly by nourishing yin and tonifying blood, dispersing stagnated liver qi for relieving qi stagnation, clearing heat and dissipating phlegm, and calming the mind at the same time, treating both manifestation and root cause of disease.
邱宏1 李欣春2 刘宁宁1 程彬1 钟森杰1 杨梦1 胡志希1. 基于数据挖掘分析袁肇凯教授治疗失眠的用药规律[J]. 中国医药导报, 2020, 17(28): 117-120.
QIU Hong1 LI Xinchun2 LIU Ningning1 CHENG Bin1 ZHONG Senjie1 YANG Meng1 HU Zhixi1. Analysis of Professor Yuan Zhaokai′s prescription for insomnia based on data mining. 中国医药导报, 2020, 17(28): 117-120.
2020, Vol. 17 
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