利用文本挖掘技术探索反流性食管炎疾病的症状、证候以及用药规律

Discovery of Symptoms,Syndromes and Chinese Medicinal herbs rules for Gastro-esophageal Reflux Disease through Data mining

目的:利用文本挖掘技术探索反流性食管炎疾病中医证治方药规律。方法:在中国生物医学文献服务系统中收集治疗反流性食管炎的文献数据,采用基于敏感关键词频数统计的数据分层算法,挖掘反流性食管炎的中医症状、证候以及用药规律,并通过一维频次表及二维网络图进行展示。结果:反流性食管炎最常见的症状为溃疡、胸痛、恶心呕吐;证候以肝胃不和为主,其次为肝郁气滞、胃气上逆,病变涉及肝、胃、脾等脏腑。治宜疏肝理气、和胃降逆,汤药以泻心汤、半夏泻心汤以及柴胡疏肝散为最常用,中药以半夏、柴胡、黄连等应用最多。结论:文本挖掘能够比较客观地总结中医证治方药规律,为临床应用提供有益的探索和参考。

Objectives ： To explore the regularity of clinical medication in treatment of Gastro-esophageal reflux disease （GERD） analyzed with text mining approach. Methods：Literatures on GERD in SinoMed （Chinese biomedical literature service system） were collected. The Chinese herbs medicine （CHM）, symptoms, patterns were extracted and processed to remove data noise. And then the relationship among regularity of Chinese herbs, symptoms and patterns in treatment of GERD was analyzed. Results： BANXIA, CHAIHU and HUANGLIAN were commonly used in sequence from high to low as Chinese herbs, which was all coincided with the treatment rules of harmonizing stomach and liver and lowering adverse qi. The frequently used formulas were XiexinTang, BanxiaxiexinTang and ChaihushuganSan. As for the symptom, ulcer, sickness, vomit and chest pain were the top four symptoms. Conclusion： The commonly used Chinese herb medicine, symptoms and patterns were corresponded with each other in treatment of GERD and can be analyzed by text mining approach which could provide proof of literature for analyzing the regularity of clinical medication in treatment of GERD.