Title :
Exploring basic treatment principles for liver cancer within Chinese herbal medicine through text mining
Author :
Kang Zheng ; Yun Geng ; Miao Jiang ; Xiaojuan He ; Guang Zheng
Author_Institution :
Sch. of Life Sci. & Eng., Southwest Jiaotong Univ., Chengdu, China
Abstract :
As the fifth most common malignancy, liver cancer has a high incidence. Chinese herbal medicine (CHM) has been an integral part of traditional Chinese medicine (TCM) for thousands of years. Many herbal formulae have been used in treating liver cancer and proved to be safe and effective in some degree. Yet the principles of treating liver cancer with CHMs are hard to manage due to the complexity of TCM theory and flexibility of TCM clinical practices. In this study, a practical text mining method was deployed based on a comprehensive collection of literatures in order to explore the treatment principles. Networks of TCM patterns and CHMs which were most frequently used in liver cancer treatment were built-up and analyzed; three major treatment principles were explored from 53,499 records of literature: (1) benefiting qi or replenishing blood; (2) promoting blood circulation for removing blood stasis; (3) clearing heat and promoting diuresis. These provided an accessible way for understanding the treatment principles for liver cancer with CHMs.
Keywords :
blood; cancer; data mining; liver; patient treatment; Chinese herbal medicine; blood circulation; blood replenishing; blood stasis removal; liver cancer treatment; text mining method; traditional Chinese medicine; Blood; Cancer; Correlation; Kidney; Liver; Medical treatment; Text mining; Chinese herbal medicine; Traditional Chinese medicine; liver cancer; pattern; text mining;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999364