ABSTRACT
Objective:To analyze the characteristics of prescription about Lingnan Traditional Chinese Medicine (TCM) masters for Biqiu treatment based on data mining, so as to provide reference for the clinical practice and patent drug research and development of rhinorrhea in Lingnan district.Methods:By searching journal documents and medical records in CNKI, VIP, Wanfang, Chinese BioMedical Database (SinoMed) and Duxiu Data Retrieval Platform, we selected the articles and famous TCM medical records that met the criteria on the TCM medical rules of treating Biqiu. We screened database in strict accordance with inclusion and exclusion criteria and extracted prescription information from medical cases. The software Ancient and Modern Consilia Cloud Platform (V 1.5) was used for data mining analysis and medical case standardization, and SPSS Clementine 12.0 software were used to conduct frequency statistics, association analysis and cluster analysis of drugs in medical cases. Results:A total of 31 articles and 42 medical cases including 73 prescriptions were screened. The frequency results showed that there were 40 kinds of high frequency TCMs (frequency more than 5), mainly including drugs for benefiting the qi and strengthening the spleen, medicine to relieve cold and promote nasal passages, which was the same as the frequency statistics of the effects of herbal medicine. Seven drug groups were obtained by cluster analysis. The results of rule analysis showed that 16 association rules for drug pairs and 18 association rules for 3 TCMs pairs were obtained.Conclusions:While treating allergic rhinitis, Lingnan medical doctors focus on tonifying spleen qi, dispersing wind and cold, and promoting the nasal passages, which reflect the treatment theory of cultivating earth and generating gold, and attacking and tonifying. Lingnan medical doctors commonly used Guangdong medicinal herbs, which have distinct regional characteristics. The data mining methods can comprehensively summarize and explore the potential rules of Lingnan prominent practitioners' treatment of allergic rhinitis, and provide reference for guiding the treatment of congested nose and congested nose in TCM.
ABSTRACT
Objective:To explore the relationship between drug evidence and core prescription for depression.Methods:We retrieved literature of TCM for depression from CNKI, VIP and Wangfang databases to November 2019, 30th as well as there cords from Ancient and Modern Medical Records Cloud Platform (V 1.5). The Excel 2010 was used to establish the standardized database of medical records. After the standardization of medicines, Ancient and Modern Medical Records Cloud Platform (V1.5) statistics methodswere used for association rules analysis, complex networks, and analysis of drugs’ frequency, medical characteristics, core prescription drugs.Results:A total of 632 effective prescriptions were included, involving a total of 527 drugs. The results of frequency of herbs showed that 23 kinds of high-frequency herbs were obtained. Bupleuri Radix was the most frequently used medicine. Most herbs are warm or flat, with pungent, sweet and bitter in taste, belonging to the lung, liver, heart and spleen meridians. A total of 25 drug-pair association and 13 TCM association were obtained by association rule analysis. Conclusions:TCM treatment for depression is mainly based on soothing the liver and regulating qi, clearing the heart and calming the nerves. Bupleuri Radix, Curcumae Radix, Paeoniae Radix Alba, Chuanxiong Rhizoma, Ziziphi Spinosae Semen are the basic prescriptions. Angelicae Sinensis Radix, Ophiopogonis Radix, Albiziae Cortex, Polygalae Radix, Poria are used as reference.