Suppr超能文献

基于数据挖掘应用的中药安全性研究

[Safety research in Chinese medicines based on application of data mining].

作者信息

Tong Yuanyuan, Yang Jinsheng, Li Changhong, He Wei

机构信息

China Academy of Chinese Medical Sciences, Institute of Information on Traditional Chinese Medicine, Beijing 100700, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2011 Nov;36(21):3047-50.

Abstract

The current status of the application of data mining in Chinese medicine (TCM) safety research are analyzed in this paper, and the future development trend are discussed, which include: to establish ADR (adverse drug reaction) signal detection and automatic warning system based on traditional Chinese medicine (TCM) adverse reaction database, to explore the characteristics and influencing factors of TCM safety problems, to devise appropriate new algorithm, and to develop TCM adverse reaction literature mining.

摘要

本文分析了数据挖掘在中医药安全性研究中的应用现状,并探讨了其未来发展趋势,包括:基于中药不良反应数据库建立药品不良反应(ADR)信号检测与自动预警系统,探索中药安全性问题的特点及影响因素,设计合适的新算法,开展中药不良反应文献挖掘。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验