TY - GEN
T1 - Correlation between Child-Pugh degree and the four examinations of Traditional Chinese Medicine(TCM) with Liver Cirrhosis
AU - Yan, Wang
AU - Lizhuang, Ma
AU - Xiaowei, Liao
AU - Ping, Liu
PY - 2008
Y1 - 2008
N2 - Finding the relationship between the objective factors of Western Medicine and the signs or the symptoms of Traditional Chinese Medicine (TCM) is an important topic. Because the factors of Western Medicine can be evaluated objectively and the treatment way of TCM is more effectively to some diseases. In this paper, C4.5 algorithm, one of the Decision Tree, is used to analyze the relationship between Child-Pugh degree and four examinations of TCM based on liver cirrhosis. We hope to look for a method of Integrating Traditional Chinese and Western Medicine. When using our dataset, some rules are obtained and the accuracy of the grade of Child-Pugh classification is 85.67%, 64.97%, 77.94% according to Child-Pugh A, Child-Pugh B and Child-Pugh C To test if the method is effective, we compare with other algorithms such as: Logistic, BayesNet, RBF NN, ID3 algorithm. It is demonstrated that C4.5 outperform ID3, Logistic, BayesNet, and RBF NN.
AB - Finding the relationship between the objective factors of Western Medicine and the signs or the symptoms of Traditional Chinese Medicine (TCM) is an important topic. Because the factors of Western Medicine can be evaluated objectively and the treatment way of TCM is more effectively to some diseases. In this paper, C4.5 algorithm, one of the Decision Tree, is used to analyze the relationship between Child-Pugh degree and four examinations of TCM based on liver cirrhosis. We hope to look for a method of Integrating Traditional Chinese and Western Medicine. When using our dataset, some rules are obtained and the accuracy of the grade of Child-Pugh classification is 85.67%, 64.97%, 77.94% according to Child-Pugh A, Child-Pugh B and Child-Pugh C To test if the method is effective, we compare with other algorithms such as: Logistic, BayesNet, RBF NN, ID3 algorithm. It is demonstrated that C4.5 outperform ID3, Logistic, BayesNet, and RBF NN.
UR - https://www.scopus.com/pages/publications/51649113709
U2 - 10.1109/BMEI.2008.58
DO - 10.1109/BMEI.2008.58
M3 - 会议稿件
AN - SCOPUS:51649113709
SN - 9780769531182
T3 - BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
SP - 858
EP - 862
BT - BioMedical Engineering and Informatics
T2 - BioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Y2 - 27 May 2008 through 30 May 2008
ER -