TY - GEN
T1 - Syndrome discrimination model of traditional Chinese medicine for chronic hepatitis B
AU - Chen, Xiaoyu
AU - Chu, Na
AU - Ma, Lizhuang
AU - Hu, Yiyang
PY - 2012
Y1 - 2012
N2 - Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.
AB - Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.
KW - CHB discriminant model of TCM
KW - attribute selection
KW - information gain
KW - multidimensional vector space
UR - https://www.scopus.com/pages/publications/84875616096
U2 - 10.1109/BIBMW.2012.6470322
DO - 10.1109/BIBMW.2012.6470322
M3 - 会议稿件
AN - SCOPUS:84875616096
SN - 9781467327466
T3 - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
SP - 310
EP - 315
BT - Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
T2 - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Y2 - 4 October 2012 through 7 October 2012
ER -
