Abstract
Traditional Chinese medicine is a shining pear in China’s scientific developmental history. To cure illness with it has its unique effect and contribution. But the illnesses database, the prescription database and herbal medicine database are very large and complex, so we have to treat these databases’ data through database technology. The article analyzes the chemical composition of some traditional Chinese medicine to cure some illness by means of data mining. First, we build three databases: the illnesses database, the prescription database and herbal medicine database. Second, we search the prescription database to some illness to find all traditional Chinese medicine. Third, we cluster these traditional Chinese medicines to find the common composition. And it may be useful in the treatment for illness. And this way gives doctors a way to treat some illness.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhu J, Ju S, Xin Y (2006) Chinese medicine data preprocessing based on data mining. Comput Eng 15(10):638–642
Yao M, Yuan Y (2002) The application of data mining in modernization of traditional chinese medicine. Beijing Univ Traditional Chin Med 14(5):78–84
Zhao D, Yu J (2007) The explore of clustering analysis method applied in the Chinese medicine field. Comput Knowl Technol (Academic Exchange) 32(9):45–52
Peng P (2009) Data mining and its application in the field of Chinese medicine. Hebei Traditional Chin Med 12(7):38–43
Shao C (2009) Practical course database-SQL Server 2008. Tsinghua University Press, China, 12(8):79–86
Tang ZH (2007) Data mining theory and applications-SQL Server 2005 database. Tsinghua University Press, China, 12(6):49–55
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this paper
Cite this paper
Li, W.G. (2013). Clustering Algorithm for Extracting Chinese Herbal Medicine’s Chemical Composition. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 217. Springer, London. https://doi.org/10.1007/978-1-4471-4850-0_39
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4850-0_39
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4849-4
Online ISBN: 978-1-4471-4850-0
eBook Packages: EngineeringEngineering (R0)