Basic treatment pinciples for ischemic cerebrovascular disease with chinese herbal medicine: An application of text mining

Rongfen Dong, Shanshan Shen, Baojie Dong, Li Zhou, He Yang, Guang Zheng, Hongtao Guo, Cheng Lu, Jinrong Zhang, Haoli Cui, Ongsheng Zhang, Aiping LYU, Miao Jiang, Yaoxian Wang*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

1 Citation (Scopus)


Cerebrovascular diseases which is called wind stoke in Chinese medicine, happened commonly and frequently in either the community or healthcare setting. Poststroke motor dysfunction and shortage of effective or curative treatments bring an enormous emotional and financial burden. Ischemic cerebrovascular (ICVD) disease is one of the three principal diseases causing people to death in which seconded only to heart disease and cancer. The pathophysiological role of platelets and coagulation is largely unclear. The currently approved drugs of treating or preventing ICVD have significant limitations. Chinese Herbal Medicine (CHM) has been an integral part of Traditional Chinese Medicine for thousands of years. Some Chinese herbs were proved to have potential benefits on neural regeneration in cerebral ischemic injury. Many herbal formulations have been developed and used in the treatment of ICVD and were proved to be effective and safe. In this study, a novel text mining method was development to explore the treatment principles more intuitively. Networks of TCM patterns and CHMs which are most frequently used in ICVD treatment are built-up and analyzed, two major principles are explored: Promoting blood circulation to remove blood stasis with strengthening healthy qi. These findings might guide the clinicians in treatment of ischemic cerebrovascular.

Original languageEnglish
Pages (from-to)5221-5225
Number of pages5
JournalInformation Technology Journal
Issue number19
Publication statusPublished - 2013

Scopus Subject Areas

  • Computer Science (miscellaneous)

User-Defined Keywords

  • Chinese herbal medicine
  • Ischemic cerebrovascular disease
  • Pattern
  • Text mining
  • Traditional Chinese medicine


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