摘要
目的:基于数据挖掘技术探讨难治性尿路感染相关文献及医案的中医辨治用药规律。方法:在中国知网数据库中检索、下载难治性尿路感染相关文献,通过筛选、清洗、降噪处理及目标关键词频数统计的数据分层算法,挖掘难治性尿路感染的病因、病位、病机、主症、舌脉、证型、治法、方剂、中药规律,并进行可视化展示。结果:该病的病因、病机主要涉及正虚、邪实两端,证型以肾虚、膀胱湿热为主;治法以清热利湿兼补肾养阴为主;涉及的方药主要为补肾、清利类。结论:该研究应用数据挖掘技术对文献全文、病案处方进行系统、细致、分层次的总结。理、法、方、药诸层次的研究结果与临床实践对该病的认识有较好的一致性。
Objective： To explore the traditional treatment rules of refractory urinary tract infections through data mining. Methods： We collected as much literature on refractory urinary tract infections as we can via China Knowledge Resource Integrated Database（ KNS）. Through noise suppression and data slicing algorithm based on sensitive keywords frequency,we summarized the disease etiology,pathogenesis,site of infection,tongue manifestation,symptom,syndrome,treatment methods,TCM formula,visualize the treatment rule in one dimensional level and in two-dimensional network diagram. Results： The TCM etiology and pathogenesis of refractory urinary tract infections concerns vital qi deficiency when pathogenic qi is prevailing. Kidney deficiency and bladder damp-heat was the main pathogenesis. Treatment methods include tonifying kidney,cleaning heat and dispelling damp.The results is well consistent with our clinical practice. Conclusion： With data mining,we systematically reviewed the literatures and prescriptions of refractory urinary tract infections and make objective summary of the rules of treatment.
出处
《世界中医药》
CAS
2015年第6期817-822,共6页
World Chinese Medicine
关键词
数据挖掘
难治性尿路感染
中医辨治
@李顺民
Data mining
Refractory urinary tract infections
TCM syndrome differentiation
@ Shunmin Li
