Suppr超能文献

基于深度学习并带有CONSORT危害声明的制剂肾毒性评估分析

Evaluation Analysis of the Nephrotoxicity of Preparations with CONSORT Harms Statement Based on Deep Learning.

作者信息

Qi Wuqiang, Chen Rui, Chen Minghui, Zhao Meng, Wang Mingzhao

机构信息

Pharmacy Department of Baojl, Hospital of Traditional Chinese Medicine, Baoji, Shaanxi 721001, China.

Pharmacy Department of Hanzhong, People's Hospital, Hanzhong, Shaanxi 723000, China.

出版信息

J Healthc Eng. 2022 Apr 7;2022:5054932. doi: 10.1155/2022/5054932. eCollection 2022.

Abstract

In this paper, the safety of polyglycoside (TW) preparation was evaluated by combining literature research and evidence-based evaluation research, so as to provide evidence-based safety information of polyglycoside preparation (nephroptosis) for government decision making and clinical application. In this paper, we propose a network structure inspired by the LSTM gate mechanism. All the research methods of the included references are evaluated by internationally recognized evaluation tools or standards. Prevalence was analyzed according to the type of intervention (e.g., time of administration) and route of administration. The results of this experiment provide methods and suggestions for the evaluation of traditional Chinese medicine nephroptosis in the future.

摘要

本文通过文献研究与循证评价研究相结合的方式,对多苷(TW)制剂的安全性进行评价,旨在为政府决策和临床应用提供多苷制剂(肾下垂)的循证安全信息。本文提出了一种受长短期记忆(LSTM)门控机制启发的网络结构。纳入参考文献的所有研究方法均通过国际认可的评价工具或标准进行评估。根据干预类型(如给药时间)和给药途径分析患病率。本实验结果为今后中药肾下垂的评价提供了方法和建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b40/9010145/ee5624df7346/JHE2022-5054932.001.jpg

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