A Mining Algorithm Study of Obtaining Diagnosis Rule from Cinical Data and Diseases Cases

Author

Yuke, Wei ; Jiangping, Li

Author_Institution

Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China

Volume

3

fYear

2009

fDate

4-5 July 2009

Firstpage

411

Lastpage

413

Abstract

This paper analyzed the datum characteristics of clinical data and diseases database of the traditional Chinese Medicine (TCM) tongue diagnosis. A mining algorithm of association rules have been advanced,which mines the diagnosis rules. The algorithm presented a more efficiency method of quantitative description about strength of association relationship.Meanwhile the paper improved FP-growth mining algorithm. Research have been made in every field of accuracy of quantitative description and high efficiency of algorithm.The application result make clear that the algorithm can be accurate more and fitter.

Keywords

biological organs; data mining; database management systems; diseases; medical diagnostic computing; medical information systems; trees (mathematics); FP tree construction; TCM; association relationship rule; clinical database; diagnosis rule mining algorithm; disease case database; frequent pattern-growth mining algorithm; quantitative description; traditional Chinese medicine tongue diagnosis; Application software; Assembly; Association rules; Biomedical imaging; Data mining; Databases; Diseases; Frequency; Materials science and technology; Tongue; Association Rules; Data Mining; FP-Growth Algorithm; Tongue Diagnosis Of TCM;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.454

Filename

5199720