Title :
Network Analysis and Experimental Validation of the Five Shu Points Model of Traditional Oriental Medicine
Author :
Seonghui An ; SeungHeui Ryu ; Min Jung Kim ; Sang Min Lee ; DoHoon Lee
Author_Institution :
Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan, South Korea
Abstract :
In this paper, we propose an extended network model to detect relationships among disease states based on the Five Shu Points model commonly used in traditional oriental medicine. We expand the network model to encompass relationships between disease state and protein expression by using Korean traditional disease codes as a classifier. On the basis of the proposed model, we show that interactions between the Five Shu points can be validated with experimental observations.
Keywords :
diseases; network theory (graphs); pattern classification; proteins; Five Shu Points model; Korean traditional disease codes; classification; disease state relationship detection; extended network model; network analysis; protein expression; traditional oriental medicine; Data models; Databases; Diseases; Heart; Kidney; Lungs; Proteins; disease protein; network modeling; the five shu point model;
Conference_Titel :
Computer and Information Technology (CIT), 2014 IEEE International Conference on
Conference_Location :
Xi´an
DOI :
10.1109/CIT.2014.152
