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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dan He Meiling Yao Miao Jiang Chi Zhang Aiping Lu |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. of Basic Res. in Clinical Med., China Acad. of Chinese Med. Sci., Beijing, China (Miao Jiang; Chi Zhang; Aiping Lu) || Yaohesheng Res. Center, Jiangxi Univ. of Traditional Chinese Med., Nanchang, China (Dan He; Meiling Yao) |
| Abstract | To explore the regularity of clinical medication of Gastro-esophageal reflux disease (GERD) through text mining approach. Literatures on GERD in SinoMed(Chinese biomedical literature service system) were collected. Results: BANXIA, CHAIHU and HUANGLIAN were commonly used Chinese herbs in sequence from high to low, the network of Chinese herbs, symptoms and patterns could be established. Conclusion: The commonly used Chinese Herbs are coincided with the treatment rules of regulating the function of liver and stomach as well as adjusting cold and heat and the networks are corresponded with each other in treating GERD and could be verified through text mining approach. |
| Starting Page | 35 |
| Ending Page | 36 |
| File Size | 267617 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999319 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text mining Filtering Conferences Regularity of clinical medication Gastro-esophageal reflux disease Liver Bioinformatics Diseases |
| Content Type | Text |
| Resource Type | Article |
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