传感器、信号与成像信息学：大数据与智能健康技术。
Sensor, signal, and imaging informatics: big data and smart health technologies.
作者信息
Voros S, Moreau-Gaudry A
出版信息
Yearb Med Inform. 2014 Aug 15;9(1):150-3. doi: 10.15265/IY-2014-0035.
OBJECTIVES
This synopsis presents a selection for the IMIA (International Medical Informatics Association) Yearbook 2014 of excellent research in the broad field of Sensor, Signal, and Imaging Informatics published in the year 2013, with a focus on Big Data and Smart Health Technologies Methods: We performed a systematic initial selection and a double blind peer review process to find the best papers in this domain published in 2013, from the PubMed and Web of Science databases. A set of MeSH keywords provided by experts was used.
RESULTS
Big Data are collections of large and complex datasets which have the potential to capture the whole variability of a study population. More and more innovative sensors are emerging, allowing to enrich these big databases. However they become more and more challenging to process (i.e. capture, store, search, share, transfer, exploit) because traditional tools are not adapted anymore.
CONCLUSIONS
This review shows that it is necessary not only to develop new tools specifically designed for Big Data, but also to evaluate their performance on such large datasets.
目标
本综述为《国际医学信息学协会年鉴2014》精选了2013年发表的传感器、信号与成像信息学广泛领域的优秀研究，重点关注大数据和智能健康技术。方法：我们进行了系统的初步筛选和双盲同行评审过程，以从PubMed和科学网数据库中找出2013年该领域发表的最佳论文。使用了专家提供的一组医学主题词（MeSH）关键词。
结果
大数据是大型复杂数据集的集合，有可能捕捉研究人群的全部变异性。越来越多的创新传感器正在出现，使这些大型数据库得以丰富。然而，由于传统工具已不再适用，处理这些数据（即捕获、存储、搜索、共享、传输、利用）变得越来越具有挑战性。
结论
本综述表明，不仅有必要开发专门为大数据设计的新工具，而且有必要在如此大型的数据集上评估它们的性能。
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