Big data in nephrology: promises and pitfalls

Girish N. Nadkarni; Steven G. Coca; Christina M. Wyatt

doi:10.1016/j.kint.2016.06.003

Big data in nephrology: promises and pitfalls

Girish N. Nadkarni, Steven G. Coca, Christina M. Wyatt

Research output: Contribution to journal › Comment/debate

9 Scopus citations

Abstract

Data from the electronic health records hold great promise for nephrology research. However, due to significant limitations, reporting guidelines have been formulated for analyses conducted using electronic health records data.

Original language	English
Pages (from-to)	240-241
Number of pages	2
Journal	Kidney International
Volume	90
Issue number	2
DOIs	https://doi.org/10.1016/j.kint.2016.06.003
State	Published - 1 Aug 2016

Access to Document

10.1016/j.kint.2016.06.003

Cite this

@article{d3892f4a8390411d99392842a11598a8,

title = "Big data in nephrology: promises and pitfalls",

abstract = "Data from the electronic health records hold great promise for nephrology research. However, due to significant limitations, reporting guidelines have been formulated for analyses conducted using electronic health records data.",

author = "Nadkarni, {Girish N.} and Coca, {Steven G.} and Wyatt, {Christina M.}",

note = "Publisher Copyright: {\textcopyright} 2016 International Society of Nephrology",

year = "2016",

month = aug,

day = "1",

doi = "10.1016/j.kint.2016.06.003",

language = "English",

volume = "90",

pages = "240--241",

journal = "Kidney International",

issn = "0085-2538",

publisher = "Elsevier Inc.",

number = "2",

}

TY - JOUR

T1 - Big data in nephrology

T2 - promises and pitfalls

AU - Nadkarni, Girish N.

AU - Coca, Steven G.

AU - Wyatt, Christina M.

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Data from the electronic health records hold great promise for nephrology research. However, due to significant limitations, reporting guidelines have been formulated for analyses conducted using electronic health records data.

AB - Data from the electronic health records hold great promise for nephrology research. However, due to significant limitations, reporting guidelines have been formulated for analyses conducted using electronic health records data.

UR - http://www.scopus.com/inward/record.url?scp=84992522121&partnerID=8YFLogxK

U2 - 10.1016/j.kint.2016.06.003

DO - 10.1016/j.kint.2016.06.003

M3 - Comment/debate

C2 - 27418085

AN - SCOPUS:84992522121

SN - 0085-2538

VL - 90

SP - 240

EP - 241

JO - Kidney International

JF - Kidney International

IS - 2

ER -

Big data in nephrology: promises and pitfalls

Abstract

Access to Document

Fingerprint

Cite this