摘要
信息化时代背景下,数据挖掘技术在中医药领域得到了广泛的应用,文章以中医药辨证用药规律总结为例针对目前中医药数据挖掘过程中存在的常见问题,如,文献的检索、中医药术语规范化、文献的质量评价与纳入、结论的验证性、可视化网络构建等进行了思考,发现其中存在的潜在弊端,从批判性的角度提出了自己的浅见与针对性策略,以期规避中医药数据挖掘研究中存在的缺陷,为中医药精准辨证治疗提供保障。
In the background of information age, data mining technology has been widely used in the field of traditional Chinese Medicine, this article took regularity summarization of syndrome differentiation and pharmacy as an example to ponder over the common problems existing in the process of TCM data mining, which mainly included retrieval of literature, standardization of terminology in TCM, quality evaluation and inclusion of literature, validation of conclusion, visualization construction of network, and so on. The potential disadvantages were founded out, and we put forward our own ideas and targeted strategies from a critical point of view. This might help us to avoid the shortcomings of data mining in Chinese medicine research, and could guarantee the accuracy of differentiation and treatment of TCM.
作者
赵艳青
李青松
项敏泓
黄丽
张兴儒
ZHAO Yan-qing;LI Qing-song;XIANG Min-hong;HUANG Li;ZHANG Xing-ru(Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, Chin)
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2018年第4期1220-1225,共6页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
上海市医学重点专科建设计划项目(N o.Z K2015A20)
上海中医药大学预算内项目(No.2015YSN50)
上海市普陀区卫生系统自主创新科研资助项目-重大项目(No.2015PTKW001)~~
关键词
数据挖掘
现状
问题
术语规范化
文献质量评价
验证性
可视化网络
Data mining
Status
Problems
Standardization of terminology
Literature quality evaluation
Conclusion validation
Visual network
