Research on the Relationship Between Symptoms of TCM and Stage, Class, Child-Pugh Grade About Liver Cirrhosis

Author

Wang Yan ; Liu Ping ; Ma Lizhuang ; Liao Xiao Wei

Author_Institution

Dept. of Comput. Sci. & Eng., Shanghai Jiao tong Univ., Shanghai

fYear

2008

Firstpage

1968

Lastpage

1970

Abstract

While studying the relationship between the signs, symptoms of TCM and Child-Pugh grade, stage, class based on liver cirrhosis, the number of attribute is important. We use the information gain method to assess the attributes and use 5 classifiers such as logistic, BayesNet, NaiveBayes, RBF and C4.5 to show how the number of attribute effect the classify accuracy. We can see there are some rules between them. In this paper we give the main symptoms and signs of TCM relating to the stage, class and Child-Pugh grade about liver cirrhosis.

Keywords

Bayes methods; data mining; diseases; liver; medical diagnostic computing; pattern classification; radial basis function networks; BayesNet classifiers; C4.5 classifiers; Child-Pugh grade; NaiveBayes classifiers; RBF classifiers; TCM symptoms; data mining; information gain method; liver cirrhosis; logistic classifiers; traditional Chinese medicine; Back; Computer science; Costs; Data mining; Information science; Liver diseases; Medical diagnostic imaging; Medical treatment; Organisms; Pediatrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.821

Filename

4535701