Study on the Experience of HAN Mingxiang,a Master of Traditional Chinese Medicine,in Treating Depression based on Data Mining
Objective:To explore and summarize Professor HAN Mingxiang's experience in using drugs to treat de-pression using data mining technology.Methods:Cases of depression patients in HAN Mingxiang's outpatient clinic were collected,and a database was established using Excel software.The age,gender,syndrome type,and high-fre-quency drugs of the patients were statistically analyzed.SPSS software was used for association rule analysis,frequency item set analysis,and cluster analysis.Results:A total of 108 prescriptions were included.The most common popula-tions were women before and after menopause and young and middle-aged men.The most common syndrome was Qi stagnation and fire syndrome.A total of 189 drugs were involved.The high-frequency drugs included bupleurum,an-gelica,white peony root,liquorice,peony bark,gardenia,etc.;the commonly used drug pairs included poria-albizzia bark,jujube seed-albizzia bark,gardenia-peony bark,etc.;the commonly used drug combinations included jujube seed,bupleurum-albizzia bark,poria,prunella vulgaris-albizzia bark,poria,gardenia-albizzia bark,etc.Cluster analysis resulted in four drug cluster combinations:Gardenia-Peony Root-Angelica-White Peony Root-Bupleu-rum,Albizzia julibrissin-Poria-Prunella Vulgaris.Conclusion:Professor HAN Mingxiang adheres to the academic thought of"the root of the disease must be sought",grasps the key of Qi stagnation in depression,combines the physi-ological and external characteristics of the contemporary susceptible population,and forms clinical experience of pro-moting Qi and relieving depression,soothing the liver and purging fire as the main treatment principles from the three aspects of depression,Qi and fire.
HAN MingxiangMaster of traditional Chinese medicineDepressionData mining
国家科技期刊平台
NSTL
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