KISTCM: knowledge discovery system for traditional Chinese medicine
作者:Shaojie Qiao, Changjie Tang, Huidong Jin, Jing Peng, Darren Davis, Nan Han
摘要
Objective: Traditional Chinese Medicine (TCM) provides an alternative method for achieving and maintaining good health. Due to the increasing prevalence of TCM and the large volume of TCM data accumulated though thousands of years, there is an urgent need to efficiently and effectively explore this information and its hidden rules with knowledge discovery in database (KDD) techniques. This paper describes the design and development of a knowledge discovery system for TCM as well as the newly proposed KDD techniques integrated in this system.
论文关键词:Traditional Chinese medicine, Knowledge discovery, Data mining, Herbal formula
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10489-008-0149-4