• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

数据挖掘的好处。

The benefits of data mining.

机构信息

National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, United States.

出版信息

Elife. 2017 Aug 16;6:e30280. doi: 10.7554/eLife.30280.

DOI:10.7554/eLife.30280
PMID:28813246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5577908/
Abstract

Careful analysis of a database populated by physicians and patients sheds new light on the side effects of drugs.

摘要

仔细分析由医生和患者组成的数据库,为药物的副作用提供了新的线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8674/5577908/9552545e33be/elife-30280-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8674/5577908/9552545e33be/elife-30280-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8674/5577908/9552545e33be/elife-30280-fig1.jpg

相似文献

1
The benefits of data mining.数据挖掘的好处。
Elife. 2017 Aug 16;6:e30280. doi: 10.7554/eLife.30280.
2
Drug-Associated Acute Kidney Injury Identified in the United States Food and Drug Administration Adverse Event Reporting System Database.药物相关性急性肾损伤在美国食品和药物管理局不良事件报告系统数据库中的识别。
Pharmacotherapy. 2018 Aug;38(8):785-793. doi: 10.1002/phar.2152. Epub 2018 Jul 13.
3
Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data.利用不良事件报告数据挖掘与药物治疗方案相关的不同临床结果。
Nat Biotechnol. 2016 Jul 12;34(7):697-700. doi: 10.1038/nbt.3623.
4
Reported Adverse Events with Painkillers: Data Mining of the US Food and Drug Administration Adverse Events Reporting System.止痛药不良反应报告:美国食品和药物管理局不良事件报告系统的数据挖掘。
Drug Saf. 2018 Mar;41(3):313-320. doi: 10.1007/s40264-017-0611-5.
5
Exploring the FDA adverse event reporting system to generate hypotheses for monitoring of disease characteristics.探索 FDA 不良事件报告系统,以生成监测疾病特征的假设。
Clin Pharmacol Ther. 2014 May;95(5):496-8. doi: 10.1038/clpt.2014.17. Epub 2014 Jan 21.
6
Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database.氨磺必利的新型不良事件:美国食品药品监督管理局不良事件报告系统(FAERS)数据库中的不成比例性分析。
Curr Drug Saf. 2019;14(1):21-26. doi: 10.2174/1574886313666181026100000.
7
A characterization and disproportionality analysis of medication error related adverse events reported to the FAERS database.药物不良反应报告系统(FAERS)数据库中报告的药物错误相关不良事件的特征描述和比例失调分析。
Expert Opin Drug Saf. 2018 Dec;17(12):1161-1169. doi: 10.1080/14740338.2018.1550069. Epub 2018 Nov 27.
8
Evaluation of the Expression Time of Ganciclovir-Induced Adverse Events Using JADER and FAERS.利用 JADER 和 FAERS 评估更昔洛韦诱导不良事件的表达时间。
Biol Pharm Bull. 2019;42(11):1799-1804. doi: 10.1248/bpb.b19-00156.
9
Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting data.利用美国食品药品监督管理局(FDA)上市后自发报告数据挖掘药物相互作用的关联模式。
J Biomed Inform. 2016 Apr;60:294-308. doi: 10.1016/j.jbi.2016.02.009. Epub 2016 Feb 20.
10
Analysis of the adverse events of Aristada:A real-world study based on FAERS database.阿立哌唑长效注射剂不良事件分析:一项基于FAERS数据库的真实世界研究。
Asian J Psychiatr. 2024 Apr;94:103968. doi: 10.1016/j.ajp.2024.103968. Epub 2024 Feb 9.

引用本文的文献

1
Gastrointestinal perforation associated with novel antineoplastic agents: A real-world study based on the FDA Adverse Event Reporting System.新型抗肿瘤药物相关胃肠道穿孔:基于 FDA 不良事件报告系统的真实世界研究。
J Pharm Pharm Sci. 2023 Feb 15;26:11235. doi: 10.3389/jpps.2023.11235. eCollection 2023.

本文引用的文献

1
Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets.不良事件报告的反向翻译为降低临床前脱靶风险铺平了道路。
Elife. 2017 Aug 8;6:e25818. doi: 10.7554/eLife.25818.
2
Drug-induced liver injury: recent advances in diagnosis and risk assessment.药物性肝损伤:诊断与风险评估的最新进展
Gut. 2017 Jun;66(6):1154-1164. doi: 10.1136/gutjnl-2016-313369. Epub 2017 Mar 23.
3
Pioglitazone use and risk of bladder cancer: population based cohort study.吡格列酮的使用与膀胱癌风险:基于人群的队列研究。
BMJ. 2016 Mar 30;352:i1541. doi: 10.1136/bmj.i1541.
4
"Precision" drug development?精准药物研发?
Clin Pharmacol Ther. 2016 Feb;99(2):152-4. doi: 10.1002/cpt.255. Epub 2015 Nov 20.
5
Data mining of the public version of the FDA Adverse Event Reporting System.对 FDA 不良事件报告系统公开版本的数据挖掘。
Int J Med Sci. 2013 Apr 25;10(7):796-803. doi: 10.7150/ijms.6048. Print 2013.
6
When good drugs go bad.当良药变毒药。
Nature. 2007 Apr 26;446(7139):975-7. doi: 10.1038/446975a.
7
Evidence for possible involvement of 5-HT(2B) receptors in the cardiac valvulopathy associated with fenfluramine and other serotonergic medications.5-羟色胺(2B)受体可能参与与芬氟拉明及其他血清素能药物相关的心脏瓣膜病的证据。
Circulation. 2000 Dec 5;102(23):2836-41. doi: 10.1161/01.cir.102.23.2836.
8
HERG, a primary human ventricular target of the nonsedating antihistamine terfenadine.HERG,一种非镇静性抗组胺药特非那定的主要人类心室靶点。
Circulation. 1996 Aug 15;94(4):817-23. doi: 10.1161/01.cir.94.4.817.