生物医学大数据的期望与陷阱

M. Mayer
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引用次数: 4

摘要

大数据是信息管理、市场营销和医疗保健领域的热门话题之一。大数据描述了新一代的技术和架构,使我们能够通过高速捕获、发现和分析分布式数据,从海量数据和类型中提取价值。大数据的特点是所谓的四个V:数据的数量和复杂性,收集、存储、处理和分析数据的速度,不同类型数据(结构化、非结构化和半结构化)的多样性,以及数据质量、完整性和可信度的准确性或“数据保证”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expectations and Pitfalls of Big Data in Biomedicine
Big Data is one of the trending topics in information management, marketing and also in healthcare. Big Data describes a new generation of technologies and architectures that allow us to extract value from massive data volumes and types by enabling high-velocity capture, discovery and analysis of distributed data. Big Data is characterized by the so-called four V’s: volume and complexity of data, velocity of collecting, storing, processing and analyzing data, variety in relation with different types of data (structured, unstructured and semistructured) and veracity or ‘data assurance’ about data quality, integrity and credibility
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