Title :
An Improved FP-Growth Algorithm and its Application in Tongue Diagnosis of Traditional Chinese Medicine
Author :
Qun, Chen ; Mei, Liu ; Zhibing, Hu ; Yuke, Wei ; Jiangping, Li
Author_Institution :
Guangzhou Univ. of Traditional Chinese Med., Guangzhou, China
Abstract :
At the beginning, the paper analyzed the characteristics of clinical diseases database in the Traditional Chinese Medicine (TCM) tongue diagnosis. Secondly, the paper presented improved FP-growth mining algorithm, which was usable to extract the diagnosis rules. The algorithm was realized by using VC++ 7.0 and SQL Server 2000 as the development tools, and applied it to the case database successfully. The application result make clear that the algorithm can be accurate more and fitter.
Keywords :
data mining; medical administrative data processing; medical diagnostic computing; FP-growth mining algorithm; SQL Server 2000; VC++ 7.0; clinical diseases database; development tools; diagnosis rules; tongue diagnosis; traditional Chinese medicine; Association rules; Biomedical imaging; Clustering algorithms; Data mining; Databases; Diseases; Information analysis; Medical diagnostic imaging; Paper technology; Tongue; FP-Growth algorithm; clinical data; data mining; tongue diagnosis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.798
