Big Data for Health
Big Data for Health
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DOI：
10.1109/jbhi.2015.2450362
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发表时间：
2015-07-01
影响因子：
7.7
通讯作者：
Yang, Guang-Zhong
中科院分区：
文献类型：
--
作者：
Andreu-Perez, Javier;Poon, Carmen C. Y.;Yang, Guang-Zhong
本文概述了生物医学和健康信息学背景下大数据的最新发展。它概述了大数据的关键特征，以及医疗和健康信息学，翻译生物信息学，传感器信息学和成像信息学将如何从整合来自各种数据源的个性化信息的不同方面的集成方法中受益，包括结构化和非结构化，涵盖基因组学，蛋白质组学，代谢组学以及成像，临床诊断，以及对个体的长期连续生理感测。预计大数据的最新进展将扩大我们的知识，以测试从诊断到预防再到个性化治疗的疾病管理新假设。然而，大数据的兴起也在隐私、安全、数据所有权、数据管理和治理方面提出了挑战。本文讨论了与卫生大数据有关的一些现有活动和未来机会，概述了一些需要解决的关键问题。
This paper provides an overview of recent developments in big data in the context of biomedical and health informatics. It outlines the key characteristics of big data and how medical and health informatics, translational bioinformatics, sensor informatics, and imaging informatics will benefit from an integrated approach of piecing together different aspects of personalized information from a diverse range of data sources, both structured and unstructured, covering genomics, proteomics, metabolomics, as well as imaging, clinical diagnosis, and long-term continuous physiological sensing of an individual. It is expected that recent advances in big data will expand our knowledge for testing new hypotheses about disease management from diagnosis to prevention to personalized treatment. The rise of big data, however, also raises challenges in terms of privacy, security, data ownership, data stewardship, and governance. This paper discusses some of the existing activities and future opportunities related to big data for health, outlining some of the key underlying issues that need to be tackled.