Title :
The Use of Data Mining in Pharmic Quality Analysis of Traditional Chinese Medicines
Author :
Wu, Xia ; Long, Shun ; Zhu, Wei-heng
Author_Institution :
Dept. of Comput. Sci., JiNan Univ., Guangzhou, China
Abstract :
We present in this paper our works on applying data mining techniques to research on traditional Chinese medicines. This is aim to unveil the underlying associations between chemical ingredients of traditional Chinese medicines and their pharmic qualities which are of vital importance in both research and practice. Various data mining approaches have been evaluated, as well as different performance improvement techniques, among which we identify the best for practice. Our results can help guide future researches on traditional Chinese medicines, particularly in the development of new medicines.
Keywords :
data mining; medicine; performance evaluation; pharmaceuticals; quality control; chemical ingredients; data mining techniques; performance improvement techniques; pharmic qualities; pharmic quality analysis; traditional Chinese medicines; Accuracy; Association rules; Bayesian methods; Chemicals; Decision trees; Itemsets; Chemical Ingredients; Data Mining; Pharmic Quality Analysis; Traditional Chinese Medicine;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.360