DocumentCode :
3198364
Title :
Complex network approach for analyzing TCM clinical herb-symptom relationships
Author :
Yubing Li ; Xuezhong Zhou ; Runshun Zhang ; YingHui Wang ; Jingqing Hu ; Qi Xie ; Baoyan Liu
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
18-21 Dec. 2013
Firstpage :
116
Lastpage :
117
Abstract :
Traditional Chinese Medicine (TCM) is a discipline of clinical medicine, which focuses on individualized diagnosis and treatment based on observation of the clinical manifestations of real-world patients. The complicated interactions between different medical entities play significant role for individualized treatment. In this paper, we aim to find out the meaningful herb-symptom relationship from large number of clinical data with using complex network approach. We construct two different patient networks to verify the positive correlations between herbs and symptoms in TCM clinical treatment.
Keywords :
complex networks; patient diagnosis; patient treatment; TCM clinical herb-symptom relationships; TCM clinical treatment; Traditional chinese medicine; clinical data; clinical medicine; complex network approach; patient diagnosis; patient treatment; Complex networks; Correlation; Data mining; Diseases; Educational institutions; Knowledge engineering; Medical diagnostic imaging; Complex network; clinical data mining; herb-symptom relationship; traditional Chinese medicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/BIBM.2013.6732652
Filename :
6732652
Link To Document :
بازگشت