Suppr超能文献

[Research and implementation of adverse reaction automatic warning algorithm on Chinese medicine injection].

作者信息

Zhuang Yan, Xie Bang-Tie, Xie Yan-Ming, Weng Sheng-Xin

机构信息

The PLA Navy General Hospital, Beijing 100048, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2012 Sep;37(18):2695-7.

Abstract

OBJECTIVE

To provide analytical data and automatic method for more quickly and accurately discovering warning signals of adverse reactions of traditional Chinese medicine (TCM) injections from a large number of adverse reaction data.

METHOD

Constructed the TCM injection adverse reaction monitoring system, integrated of multiple mining algorithms of warning signals of adverse reactions and automatically generate early warning analysis, and extended the algorithm to achieve better effect of warning and analysis.

RESULT

By data validation, the system can provide consistent warning results with the actual situation.

CONCLUSION

The established system has good scalability, it can provide warning analysis of adverse reaction data from multiple sources, and provide a basis for decision making to experts in the field.

摘要

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