Title :
The detection of Chinese herbal rules for Gastro-esophageal reflux disease by data mining
Author :
Dan He ; Meiling Yao ; Miao Jiang ; Chi Zhang ; Aiping Lu
Author_Institution :
Yaohesheng Res. Center, Jiangxi Univ. of Traditional Chinese Med., Nanchang, China
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 :
data mining; diseases; liver; medical information systems; patient treatment; Chinese biomedical literature service system; Chinese herbal rules; data mining approach; gastro-esophageal reflux disease treatment; liver function regulation; stomach function regulation; text mining approach; Bioinformatics; Conferences; Diseases; Filtering; Liver; Text mining; Gastro-esophageal reflux disease; Regularity of clinical medication; Text mining;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location :
Belfast
DOI :
10.1109/BIBM.2014.6999319
