4.3 Article

Big Data in Nephrology: Friend or Foe?

期刊

BLOOD PURIFICATION
卷 36, 期 3-4, 页码 160-164

出版社

KARGER
DOI: 10.1159/000356751

关键词

Big data; Genomics; Predictive analytics

向作者/读者索取更多资源

The phrase 'big data' has arrived in today's lexicon with great fanfare and some degree of hyperbole. Generally speaking, big data refer to data sets that are too complex to be successfully interrogated using standard statistical software. A wide variety of business sectors has utilized big data to garner competitive advantage within their respective markets. Medicine and nephrology, in particular, have been late to this table. This is beginning to change, however, as data scientists begin to work with these large data sets, developing predictive models that permit us to peer into the future. Coupled with an expanding understanding of genomics, predictive models constructed with the assistance of big data may soon provide us with a powerful tool to use as we provide care to patients with renal disease. (C) 2013 S. Karger AG, Basel

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据