传感,信号和影像信息学:大数据和智能医疗技术

发表时间: 2014-09-11 作者: 分类: 医学大数据文献 来源:

摘要: 传感,信号,影像信息学,大数据,智能医疗

Sensor, signal, and imaging informatics: big data and smart health technologies.

Abstract

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.

KEYWORDS:
Big data; smart health technologies

主题词: 传感,信号,影像信息学,大数据,智能医疗

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