Abstract
Many studies have applied association rule algorithms in mining formulae in traditional Chinese medicine (TCM) so far. However, in these studies, the treatment effect of prescriptions is not considered. In the meantime, a proper minimum support threshold is needed for these association rule algorithms, which is difficult for doctors. This paper proposes TCMM (traditional Chinese medicine miner), a novel algorithm for mining the top-K weighted association rule which does not require the users to set a support threshold in advance. In addition, TCMM can analyze TCM formulae with treatment effect. After conducting several experiments on TCM formulae for diabetic nephropathy, we verify that our algorithm can facilitate doctors to conduct new drug discovery and make better clinical medicine selection.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
