Analysis on medication rule in prescriptions for hemoptysis of Menghe physician Ma Peizhi based on knowledge-discovery in database.
- Author:
Jia-Rui WU
;
Wei-Xian GUO
;
Xiu-Qin HUANG
;
Bing ZHANG
;
Xiao-Meng ZHANG
- Publication Type:Journal Article
- MeSH:
Data Mining;
Databases, Factual;
Drug Prescriptions;
standards;
Drugs, Chinese Herbal;
chemistry;
therapeutic use;
Hemoptysis;
drug therapy;
Humans;
Practice Patterns, Physicians'
- From:
China Journal of Chinese Materia Medica
2014;39(4):627-630
- CountryChina
- Language:Chinese
-
Abstract:
The clinical prescriptions of hemoptysis that built by Menghe physician Ma Peizhi were collected, and were analyzed by the method of unsupervised data mining, such as association rules and clustering algorithm. From the prescriptions, we got the frequency of drugs, the association rules among drugs, 10 core drug combinations and 5 new prescriptions. Accordingly, after the analysis, Menghe physician Ma Peizhi had rich experience in the treatment of hemoptysis. His therapy for hemoptysis was clearing heat and moistening lung, dispel heat from blood to stop bleeding, and enriching yin and blood. And we can also make a conclusion that the TCM inheritance support system is of great practical value for minning the old doctors' clinical experiences.
