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大数据中的真实性:足够好是多好。

Veracity in big data: How good is good enough.

机构信息

Case Western Reserve University, USA; Cleveland Clinic, USA.

Case Western Reserve University, USA.

出版信息

Health Informatics J. 2019 Dec;25(4):1290-1298. doi: 10.1177/1460458217744369. Epub 2018 Feb 1.

Abstract

Veracity, one of the five V's used to describe big data, has received attention when it comes to using electronic medical record data for research purposes. In this perspective article, we discuss the idea of data veracity and associated concepts as it relates to the use of electronic medical record data and administrative data in research. We discuss the idea that electronic medical record data are "good enough" for clinical practice and, as such, are "good enough" for certain applications. We then propose three primary issues to attend to when establishing data veracity: data provenance, cross validation, and context.

摘要

真实性是描述大数据的五个“V”之一,在将电子病历数据用于研究目的时,它受到了关注。在这篇观点文章中,我们讨论了与在研究中使用电子病历数据和管理数据相关的数据真实性和相关概念。我们讨论了这样一种观点,即电子病历数据“足够好”用于临床实践,因此“足够好”用于某些应用。然后,我们提出了在确定数据真实性时需要注意的三个主要问题:数据来源、交叉验证和上下文。

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