Skip to main content
Rule-based Text Mining of Traditional Chinese Medicine Patterns with Chinese Herbal Medicines and Symptoms on Cirrhosis
Rule-based
Text Mining of Traditional Chinese Medicine Patterns with Chinese Herbal
Medicines and Symptoms on Cirrhosis
Through
several thousands years of clinical research and theoretical thoughts,
traditional Chinese medicine (TCM) has accumulated rich experiences on
cirrhosis. However, the usage of Chinese herbal medicines in formulae are
flexible in TCM clinical practice according to pattern differentiation. So, it
is important to get the composition rules of Chinese herbal medicines through
literatures. Based on the keyword list of Chinese herbal medicine, pattern, and
symptoms, through the keyword filtering skill, we got the lists of Chinese
herbal medicines. However, for Chinese herbal medicines, they are not only
mentioned in the plain format of herb names, but also densely described in the
form of formulae (also called Chu-Fang, Yao-Fang or Tang-Yao in Chinese). As
formulae are composed by Chinese herbal medicines according the theory of
traditional Chinese medicine, so, it is necessary to filtering them out and
de-compose them back into specified Chinese herbal medicines. In this study,
take cirrhosis for example, we explored the composition-rules of Chinese herbal
medicines and the network of TCM pattern with them. By doing this, we might get
a deeper understanding of composition-rules of Chinese herbal medicines in
clinical practice which might be a better reference for both clinical practise
and medical research. Key
words: text mining, Chinese herbal medicine,
composition rule, cirrhosis, traditional Chinese medicine.
Comments
Post a Comment