Big data from electronic health records for early and late translational cardiovascular research: challenges and potential — Harry Hemingway (2017) | RDL Network
Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
Article 2017 en
Authors
HH
Harry Hemingway
FA
Folkert W. Asselbergs
JD
John Danesh
Abstract
1 min read
High volumes of inherently diverse ('big') EHR data are beginning to disrupt the nature of cardiovascular research and care. Such big data have the potential to improve our understanding of disease causation and classification relevant for early translation and to contribute actionable analytics to improve health and healthcare.
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