@inproceedings{235e2eeb67614651a7fd9a61b2c4ad1c,
title = "The detection of Chinese herbal rules for Gastro-esophageal reflux disease by data mining",
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.",
keywords = "Gastro-esophageal reflux disease, Regularity of clinical medication, Text mining",
author = "Dan He and Meiling Yao and Miao Jiang and Chi Zhang and Aiping LYU",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014 ; Conference date: 02-11-2014 Through 05-11-2014",
year = "2014",
month = dec,
day = "29",
doi = "10.1109/BIBM.2014.6999319",
language = "English",
series = "Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014",
publisher = "IEEE",
pages = "35--36",
editor = "Huiru Zheng and Hu, {Xiaohua Tony} and Daniel Berrar and Yadong Wang and Werner Dubitzky and Jin-Kao Hao and Kwang-Hyun Cho and David Gilbert",
booktitle = "Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014",
address = "United States",
}