Title :
Exploring associated networks of cold herb and hot herb within the framework of traditional Chinese medicine through text mining
Author :
Fei Liang ; Junping Zhan ; Guang Zheng ; Miao Jiang ; Cheng Lu ; Aiping Lu
Author_Institution :
Beijing Univ. of Chem. Technol., Beijing, China
Abstract :
It is an interesting and meaningful thing to explore the associated networks between cold herb and hot herb within the framework of traditional Chinese medicine because they might be useful for both clinical practice and scientific research. In this study, focused on the fields of disease, pattern/syndrome, symptom, and decoction, we constructed the associated networks between cold herb and hot herb. By analyzing these networks, we found that there is no clear separation between cold herb and hot herb. What´s more, they have mutual parts among their networks on disease, pattern/syndrome, symptom, and decoction.
Keywords :
data mining; medical information systems; text analysis; associated networks; cold herb; decoction; disease; hot herb; pattern-syndrome; symptom; text mining; traditional Chinese medicine; cold herb; hot herb; network; text mining; traditional Chinese medicine;
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2