Study on association rule mining in multi-component Chinese medicine research and development for treatment of lung cancer.
- Author:
Lei LEI
1
;
Meng CUI
;
Zhongkai MI
Author Information
1. Institute of Information on Traditional Chinese Medicine, Academy of Chinese Medicine Science, Beijing 100700, China.
- Publication Type:Journal Article
- MeSH:
Drugs, Chinese Herbal;
chemistry;
therapeutic use;
Humans;
Lung Neoplasms;
drug therapy;
Medicine, Chinese Traditional;
methods;
standards
- From:
China Journal of Chinese Materia Medica
2010;35(16):2192-2195
- CountryChina
- Language:Chinese
-
Abstract:
Association rule mining was used to filter high-frequency combinations of chemistry components which were from clinical prescriptions in order to find a new available method for multi-component Chinese medicine research and development. First, 1 120 TCM clinic papers about curing lung cancer were selected from clinic literature database. Second, chemical components were obtained from prescription described in TCM clinic papers through Chinese medicine pharmacological test database. Third, association rule mining was used to find out high-frequency combinations of chemical components. Finally, some interesting conclusions were obtained from association rule mining results through chemical component's pharmacological effects. Association rule mining of Chinese medicine chemical components provided a new method for multi-component Chinese medicine research and development.
