换一批
换一批基于医药大数据的药品不良反应信号挖掘探讨
Signal mining for adverse drug reactions based on healthcare big data: methodology and applications
摘要介绍了传统药品不良反应信号发现的主要途径及应用,描述了基于医药大数据进行药品不良反应信号挖掘的研究进展,简述了医药大数据背景下运用机器学习技术进行药品不良反应预测的方法及应用,提出深度学习作为机器学习中一项快速崛起的技术,将会成为未来研究热点,其可能为药品不良反应信号挖掘与临床合理用药提供有益的思路.
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abstractsThis paper presented the conventional methods for signal detection of adverse drug reactions (ADRs) and their applications, the research progress in ADRs signal mining based on healthcare big data, and briefed the methods and uses of ADRs prediction using machine learning technology in the era of healthcare big data.The conclusion was that deep learning, as a fast growing tool in machine learning, will become hotspot of research, expected to help with ADRs signal mining and rational clinical drug use.
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关键词
药品不良反应医药大数据信号挖掘机器学习技术深度学习技术Adverse drug reactionHealthcare big dataSignal miningMachine learning technologyDeep learning technology
栏目名称
信息管理
DOI
10.3760/cma.j.issn.1000-6672.2017.05.016
发布时间
2017-06-02
基金项目
国家自然科学基金(81373482)National Natural Science Foundation of China
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