Based on data mining and syndrome differentiation and treatment to research characteristics of Chinese materia medica for treatment of liver diseases
10.7501/j.issn.0253-2670.2016.15.030
- Author:
Shan-Shan MAN
1
Author Information
1. The Second People's Hospital of Tianjin/Tianjin Medical Research Institute of Liver Disease
- Publication Type:Journal Article
- Keywords:
Association rules;
Chinese materia medicia;
Data mining;
Liver disease;
Regularities and rules of prescription;
Syndrome differentiation and treatment
- From:
Chinese Traditional and Herbal Drugs
2016;47(15):2775-2778
- CountryChina
- Language:Chinese
-
Abstract:
Study on the characteristics of Chinese materia medica (CMM) for treating liver disease in CMM standard based on data mining and theory of syndrome differentiation and treatment. To analyze the prescriptions of oral Chinese patent medicine (CPM) for liver disease treatment of China Pharmacopoeia, China Pharmacopoeia·Clinical Medication Notice [2010 edition (CMM vol.)] and Drug standard of Ministry of Health of the People's Republic of China; Excel statistical analysis software was used to frequency analysis, using SAS 9.1 statistical analysis software as a data mining platform to carry out the association rules analysis. In 114 prescriptions for the treatment of liver disease, 246 herbs were involved. A cluster analysis was used to analyze 27 herbs with high frequency ( ≥ 10) of usage, which were classified into nine clusters including complement virtual medicine, medicine for regulating qi, promoting blood circulation to remove blood stasis, antipyretic, diuretics for eliminating dampness drugs, cathartic, and astringent drug. Eighteen pairs of herbs and 20 pairs of three herbs for oral CPM for liver disease treatment were obtained by association rule analysis. Combined with the characteristics of disease medication. the data mining and the theory of syndrome differentiation and treatment can help to interpret the law and characteristics of CMM in the treatment of liver disease.
