基于文本挖掘探索心律失常药物治疗规律

目的:利用文本挖掘技术探索心律失常治疗规律,以期为临床经验总结提供参考.方法:利用数据挖掘技术,结合可视化,首先在CBM数据库中收集治疗心律失常文献数据,采用基于敏感关键词频数统计的数据分层算法,结合文献回溯、人工阅读降噪,挖掘心律失常的中西药治疗规律.这些规律通过一维频次及二维的网络图进行显示.结果:心律失常常用西药为肾上腺素、尿激酶、地高辛等,常用中成药为稳心颗粒、复方丹参滴丸等,常用中药为地黄、丹参、人参、天冬、炙甘草等,其中肾上腺素、稳心颗粒、桂枝与其他药物关联最密切,中西药联用时常用中成药为稳心颗粒.结论:文本挖掘技术能够比较客观地总结心律失常药物治疗规律,为临床经验总结提供有益的探索与参考.

Explore Medication Principle of Treating Arrhythmia Based on Text Mining

Objective: To explore the medication principle of treating arrhythmia based on text mining and to provide a reference for clinical experience summary Method: We used data mining technology combined with visualization.Based on the literature data of treatment of arrhythmia collected in the CBM database,we explored the medication principle of treating arrhythmia,both traditional Chinese medicine(TCM) and Western medicine.The means we used include frequency statistical data based on sensitive keywords hierarchical algorithm,retro-read and manually noise reduction.These laws displayed by the frequency of one-dimensional and two-dimensional network diagram. Result: Common Western medicine for treating arrhythmia are Epinephrine,urokinase,digoxin,etc,common Chinese medicine are Wenxin grain,compound Danshen Dripping pill,etc,common TCM are Rehmanniae,Salvia,Ginseng,Aspartame,Licorice,etc.Among these, Epinephrine,Wenxin grain,Cassia twig are most closely related to other medicine.Commonly used Chinese medicine is Wenxin Grain when Chinese medicine combined with Western medicine. Conclusion: Text mining technology can be used for summary of medication principle of treating arrhythmia,thus could provide useful exploration and reference for clinical experience summary.