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Needles in hay-use of machine learning to identify references to drugs and adverse events in social media

机译：服用机器学习的针头，以确定对社交媒体的药物和不良事件的引用

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《Drug safety: An international journal of medical toxicology and drug experience》 |2017年第10期|共2页
作者
Noren N.;
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作者单位

Uppsala Monitoring Ctr Uppsala Sweden;

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原文格式 PDF
正文语种 eng
中图分类药品;
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1. Needles in hay-use of machine learning to identify references to drugs and adverse events in social media [J] . Noren N. Drug safety: An international journal of medical toxicology and drug experience . 2017,第10期

机译：服用机器学习的针头，以确定对社交媒体的药物和不良事件的引用
2. Pharmacovigilance from social media: An improved random subspace method for identifying adverse drug events [J] . Liu Jing, Wang Gang International journal of medical informatics . 2018,第SEPa期

机译：来自社交媒体的药物警戒：一种改进的随机子空间方法，用于识别不良药物事件
3. Identifying Adverse Drug Events from Patient Social Media: A Case Study for Diabetes [J] . Liu Xiao, Chen Hsinchun Intelligent Systems, IEEE . 2015,第3期

机译：从患者社交媒体中识别不良药物事件：糖尿病案例研究
4. Identifying Adverse Drug Events from Health Social Media: A Case Study on Heart Disease Discussion Forums [C] . Xiao Liu, Jing Liu, Hsinchun Chen International conference on smart health . 2014

机译：从健康社交媒体中识别不良药物事件：以心脏病讨论论坛为例
5. Machine Learning for Drug Development: Integrating Genomic, Chemical, and Clinical Data to Identify Drug Targets, Efficacies, Adverse Events, and Combinations [D] . Madhukar, Neel S. 2017

机译：药物开发机器学习：整合基因组，化学品和临床数据，以鉴定药物目标，效率，不良事件和组合
6. Reducing drug prescription errors and adverse drug events by application of a probabilistic machine-learning based clinical decision support system in an inpatient setting [O] . G Segal, A Segev, A Brom, 2019

机译：通过在住院环境中应用概率机器学习的临床决策支持系统减少药物处方错误和不良药物事件
7. Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media [O] . Pilar López Úbeda, Manuel Carlos Díaz Galiano, Maite Martin, 2019

机译：利用机器学习和深度学习方法，了解社交媒体中不良药物反应的提升

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