DocumentCode :
1670203
Title :
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
Link To Document :
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