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Analysis on medication rules of state medical master Yan Zhenghua from prescriptions with citri reticulatae pericarpium based on data mining / 中国中药杂志
China Journal of Chinese Materia Medica ; (24): 618-622, 2014.
Article in Chinese | WPRIM | ID: wpr-300182
ABSTRACT
The prescriptions containing pericarpium citri reticulatae that built by Professor. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. After analyzed by data mining, such as apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations can be get from the database. Through the analysis of 1 027 prescriptions with pericarpium citri reticulatae, these prescriptions were commonly used to treat stomach aches, cough and other syndromes. The most frequency drug combinations were "Citri Reticulatae Pericarpium-Poria", "Paeoniae Radix Rubra-Citri Reticulatae Pericarpium" and so on. The drug association rules that the confidence was 1 were "Glycyrrhizae Radix ex Rhizoma --> Citri Reticulatae Pericarpium", "Paeoniae Alba Radix-Cyperi Rhizoma --> Citri Reticulatae Pericarpium", "Poria --> Citri Reticulatae Pericarpium", and so on. The drugs in the prescriptions containing pericarpium citri reticulatae that built by Professor Yan mostly had the effects of regulating the flow of Qi and invigorate blood circulation, which reflected the clearly thought when making prescriptions.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Pharmacology / Drug Prescriptions / Practice Patterns, Physicians' / Drugs, Chinese Herbal / Chemistry / Citrus / Drug Interactions / Drug Therapy, Combination / Data Mining Limits: Humans Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2014 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Pharmacology / Drug Prescriptions / Practice Patterns, Physicians' / Drugs, Chinese Herbal / Chemistry / Citrus / Drug Interactions / Drug Therapy, Combination / Data Mining Limits: Humans Language: Chinese Journal: China Journal of Chinese Materia Medica Year: 2014 Type: Article