Exploring the Medication Rules of《Qianjin Fang》in Treating Chest Pain based on Data Mining Technology
Objective:To analyze the medication rules for chest pain and angina in《Qianjin Fang》.Methods:Prescriptions that meet the in-clusion criteria were screened to establish a database,and the frequency and nature,flavor and meridians of Chinese medicines were counted.SPSS25.0 software was used to perform a systematic cluster analysis on high-frequency Chinese medicines(frequency ≥ 8 times),and IBM SPSS Modeler18.0 software Apriori algorithm was used for association rule analysis.Results:The top four Chinese medicines with the highest frequency were cinnamon,licorice,dried ginger,and ginseng;the taste of the medicines was mainly pungent,sweet,and bitter;the medicinal properties were mainly concentrated in warm,cold,and hot;and the meridians were mainly concentrated in the spleen,heart,lung,and kidney meridians.The high-frequency drugs were systematically clustered into 6 drug groups,and the association rule analysis resulted in 9 drug pair association groups and 8 horn drug association groups.Conclusion:The treatment of chest pain and angina in《Qianjin Fang》mainly focuses on warming yang and unblocking meridians,dispersing cold and relieving pain,strengthening spleen and nourishing heart,and replenishing qi and blood,while taking into account the methods of resolving phlegm,regulating qi,and clearing heat.
Chest pain and heartache《Qianjin Fang》Data miningMedication rules
NETL
NSTL
万方数据
