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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(4): 329-332 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.178

Chinese Herbal Medicine for Migraine: An Application of Text Mining

Minzhi Wang, Miao Jiang, Guang Zheng, Xiaojuan He, Cheng Lu, and Aiping Lu

Abstract—Migraine is one of the most chronic disable headache diseases, and it effects 5% to 10% of adults. Patients could not work effectively, or even keep a high quality of life. As a complex neuro-vascular disease, the pathology of migraine is still not fully understood. Many medical methods are applied to release symptoms or prophylaxis of migraine, such as behavior therapy, pyschotherapy, acupuncture, massage, and drug therapy. In China, Chinese herbal medicines (CHMs) are also used to treat migraine. Through the long history, and also in modern era, various CHMs are prescribed in different formulae. In clinical practice, a proportion of patients in China will not only take biomedical drugs, but also receive CHMs therapy or combinational theatment. This combination will broaden new field in the management of migraine. To explore some answer to which CHMs are most prescibed in formulaes and basic traits of these CHMs, as well as biomedical drugs in combination with these CHMs, we designed a study based on text mining technology for these three questions. In this study, we built a dataset from the information downloaded in Sinomed database. With our novel text mining method, CHMs in this dataset were counted, and some fundamental parameters of each CHM, such as cold/heat property, flavours, and channel tropism were also recorded. Besides, biomedical drugs prescribed together with CHM were also involved in statistic. Results showed that Chuan Xiong, Tian Ma, Dan Shen, Dang Gui and Xi Xin are the top 5 CHMs used to cure migraine. Among all these CHMs, warm CHMs were most frequently used in the treatment of migraine, pungent was the most frenquent flavour, and liver, heart are the top 2 channels, both these two visceras were related to human psychoactivity in TCM theory, and further regulate the disease acitivity of migraine. Cinnarizine, flunarizine, nimodipine, and nitroglycerin were drugs most combined with CHM to cure migraine. These results indicated that text mining could be an effective method in exploring the rules of CHMs prescription and the combination of biomedicine and CHMs in treatment of migraine.

Index Terms—Chinese herbal medicine, text mining, migraine, traditional Chinese medicine

Guang Zheng is with the School of Information Science-Engineering, Lanzhou University, Lanzhou, 730000, China.
Aiping Lu is with the Hong Kong Baptist University School of Chinese Medicine, Kowloon, Hong Kong (e-mail: lap64017611@126.com).


Cite: Minzhi Wang, Miao Jiang, Guang Zheng, Xiaojuan He, Cheng Lu, and Aiping Lu, "Chinese Herbal Medicine for Migraine: An Application of Text Mining," International Journal of Future Computer and Communication vol. 2, no. 4 pp. 329-332, 2013.

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