Analysis on Medication Rules of National Medical Masters for Treatment of Hepatopathy ;Based on Data Mining
10.3969/j.issn.1005-5304.2014.06.011
- VernacularTitle:基于数据挖掘的国家级名老中医治疗肝病用药规律研究
- Author:
Jiarui WU
;
Jingmei SONG
;
Bing ZHANG
;
Xiaomeng ZHANG
;
Di JIANG
- Publication Type:Journal Article
- Keywords:
hepatopathy;
experience of famous doctor;
association rules;
clustering algorithm
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2014;(6):30-32,33
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the medication rules for the treatment of hepatopathy by national medical masters. Methods The prescriptions for hepatopathy were collected to build a database based on Traditional Chinese Medicine (TCM) inheritance assist system. After analyzed by the data mining, such as apriori algorithm and complex system entropy cluster, the frequency of single medicine and drug combinations that used in prescriptions, and the association rules among drugs were obtained. Results The most frequently used drugs were Herba Artemisiae Capillaris, Tuckahoe, Radix Salviae Miltiorrhizae, Rhizoma Atractylodis Macrocephalae, and Radix Bupleuri, et al. The most frequently used drug combinations were “Radix Salviae Miltiorrhizae, Tuckahoe”, “Rhizoma Atractylodis Macrocephalae, Tuckahoe”, and “Radix Salviae Miltiorrhizae, Herba Artemisiae Capillaris”, et al. And when the confidence of drug association rules was 1, the drug combinations were“Radix et Rhizoma Rhei, Giant Knotweed→Herba Artemisiae Capillaris”,“Radix et Rhizoma Rhei, Radix curcumae→Herba Artemisiae Capillaris”, “Giant Knotweed, Gardenia→Herba Artemisiae Capillaris” and so on. Conclusion The medicines were often with the actions of clearing heat, removing dampness, regulating qi and activating blood circulation, which were used for the treatment of hepatopathy by national medical masters.
