Knowledge Discovery on Compatibility Laws of TCM Prescription for Stroke Disease Based on Biclustering Method
10.3969/j.issn.1005-5304.2013.11.007
- VernacularTitle:基于双向聚类方法的中医治疗中风病方剂配伍规律知识发现
- Author:
Lei WU
;
Shu LI
- Publication Type:Journal Article
- Keywords:
stroke disease;
TCM prescriptions;
compatibility;
data mining;
biclustering;
cluster analysis;
knowledge discovery
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2013;(11):16-18,19
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the key elements in prescription and summarize the law of prescription-herb treatment, to find core herbs/herb group which play a key role in pharmacological effects, then provide new methods and modern techniques for theory of prescription development and TCM clinical research. Methods The text data sources of stroke disease were retrieved from databases of traditonal Chinese prescription. After pre-processing and information extraction, a prescription-herb matrix was constructed, and then biclustering method was used to simultaneous clustering two dimensions of data. Results Totally 648 effective records were gained after preprocessing, and 6913 herbs were extracted, then a 100×648 prescription-herb matrix was generated. Finally 4-way clustering results were output, along with 8 high descriptive prescriptions, then characteristics of prescription laws of diagnosis and treatment according different syndrome and various types of herbs commonly used were summarized. Conclusion This method can be well applied for prescription-herb knowledge discovery in TCM prescription databases. The prescription-herb information can be effectively extracted, and laws of prescription-herb and syndrome-treament can be mined.
