世界中医药

目的:基于文本挖掘技术探讨青风藤用药规律。方法：在CBM数据库中检索、下载所有涉及青风藤的文献，通过清洗、降噪及关键词频统计的数据分层算法，挖掘青风藤治疗疾病的规律，症状、证型的分布规律，中药配伍、中成药、西药、汤剂、针灸联用规律,并进行规律的可视化展示。结果：青风藤主要治疗以疼痛、肿胀、强直、畸形为主的病证，中医病证要素涉及风、寒、湿、热、痰、瘀、虚。疾病以现代医学的类风湿关节炎为主，涉及多种风湿类疾病以及慢性肾炎、肝炎、心律失常等。中药应用方面，青风藤多与祛风除湿类、养血活血类、通络类、温经类及补肾类中药合用。此外，青风藤多与雷公藤多苷、活络丸等调节免疫、通络药物联用。结论：数据挖掘技术可以系统、全面、准确总结青风藤的用药规律，为拓展该药的临床应用及深入研究提供文献学依据。

English Summary:

The study summarized the treatment rules of Sinomenium acutum (Menispermaceae, SA) using text mining techniques. Methods: Firstly, we conducted text-mining by collecting related literatures about SA from Chinese Biomedical Literature (CBM) Database. Then structured query language was used to do data processing as well as data stratification. Algorithm was used to analyze the basic laws of symptom, TCM pattern, TCM herb compatibility and drug combination. Results:Sinomenium Acutum was mainly used to treat diseases with symptoms such as ache, swelling, stiffness, malformation, etc. Wind, cold, wetness, heat, sputum, stasis and deficiency were the main etiology and pathology. Sinomenium Acutum was always used in combination with herbs with the functions of dispelling wind and eliminating dampness, nourishing the blood and promoting blood circulation, dredging collaterals, warming meridians and nourishing kidney. Conclusion: By text mining we summarized the treatment rules of Sinomenium Acutum in a systematic, comprehensive and precise way, providing literature basis for future clinical application and drug research．

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