TY - GEN
T1 - An intelligent TCMEP differentiation system
AU - Na, Chu
AU - Ma, Lizhuang
AU - Min, Zhou
PY - 2010
Y1 - 2010
N2 - The collection and process in four diagnostic information of traditional Chinese medicine (TCM) are unsure and fuzzy. So it badly affects the veracity of diagnostic conclusion. This paper, based on former research work and eight principal theory of TCM, develops an intelligent ensemble TCM Eight Principal diagnosis system. Firstly, the acquisition of objective-oriented and quantitative four diagnostic information of TCM is an important prerequisite for intelligent diagnostic systems. In this paper, the system utilized tongue instrument, color inspection instrument, pulse diagnosis instrument, and point diagnosis instrument, to collect TCM symptoms and signs. And secondly, based on incremental symmetrical uncertainty in four views, the critical symptoms subsets are selected from original and noise symptoms. Then the syndrome type of a new case is predicated automatically by use of the intelligent ensemble TCMEPD system. In this paper, average 17.75 critical symptoms are selected from 177 symptoms and corresponding syndrome of 566 new cases are recognized.
AB - The collection and process in four diagnostic information of traditional Chinese medicine (TCM) are unsure and fuzzy. So it badly affects the veracity of diagnostic conclusion. This paper, based on former research work and eight principal theory of TCM, develops an intelligent ensemble TCM Eight Principal diagnosis system. Firstly, the acquisition of objective-oriented and quantitative four diagnostic information of TCM is an important prerequisite for intelligent diagnostic systems. In this paper, the system utilized tongue instrument, color inspection instrument, pulse diagnosis instrument, and point diagnosis instrument, to collect TCM symptoms and signs. And secondly, based on incremental symmetrical uncertainty in four views, the critical symptoms subsets are selected from original and noise symptoms. Then the syndrome type of a new case is predicated automatically by use of the intelligent ensemble TCMEPD system. In this paper, average 17.75 critical symptoms are selected from 177 symptoms and corresponding syndrome of 566 new cases are recognized.
KW - Classification accuracy
KW - Feature selection
KW - Intelligent diagnosis system
KW - Syndrome differentiation
KW - Traditional Chinese medicine
UR - https://www.scopus.com/pages/publications/77958132083
U2 - 10.1109/WCICA.2010.5553754
DO - 10.1109/WCICA.2010.5553754
M3 - 会议稿件
AN - SCOPUS:77958132083
SN - 9781424467129
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 2686
EP - 2691
BT - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
T2 - 2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Y2 - 7 July 2010 through 9 July 2010
ER -