DocumentCode :
3339680
Title :
Correlation rule study of Symptom in Traditional Chinese Medicine and biological parameter
Author :
Zhao, Hui-hui ; Chen, Jian-xin ; Hou, Na ; Han, Jing ; Hou, Qin ; Liu, Jing ; Zhang, Peng ; Qiu, Qi ; Pan, Qiu ; Wang, Yong ; Wang, Wei
Author_Institution :
Beijing Univ. of Chinese Med., Beijing, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
125
Lastpage :
128
Abstract :
Correlate macroscopic syndrome and microscopic indexes is a very urgent and difficult problem in traditional Chinese medicine (TCM). The aim of this study was to establish correlative rule of symptom in TCM and biological parameter and establish biological parameter diagnosis pattern of symptom in TCM. Twenty-two biological parameters were detected on thirty-two unstable angina with QI deficiency syndrome patients and ten healthy people. Using decision tree, we gain a pattern made by three biological parameters which could distinguish unstable angina with QI deficiency syndrome patients from the healthy people. The diagnosis accuracy could reach 75%. The obtained patterns are validated by 3- fold cross validation. The decision tree may be a suitable data mining method for the establishment of correlative rule of symptom in TCM and biological parameter and for the discovery of illness or symptom in TCM diagnosis pattern.
Keywords :
data mining; decision trees; diseases; medical diagnostic computing; QI deficiency syndrome; TCM; biological parameter; data mining; decision tree; symptom; traditional Chinese medicine; unstable angina; Biological materials; Data mining; Decision trees; Hospitals; Medical diagnostic imaging; Microscopy; Myocardium; Pain; Reflection; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
Type :
conf
DOI :
10.1109/ITIME.2009.5236447
Filename :
5236447
Link To Document :
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