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Big data in nephrology: promises and pitfalls.

Publication ,  Journal Article
Nadkarni, GN; Coca, SG; Wyatt, CM
Published in: Kidney Int
August 2016

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.

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Published In

Kidney Int

DOI

EISSN

1523-1755

Publication Date

August 2016

Volume

90

Issue

2

Start / End Page

240 / 241

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Nephrology
  • Humans
  • Electronic Health Records
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

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Chicago
ICMJE
MLA
NLM
Nadkarni, G. N., Coca, S. G., & Wyatt, C. M. (2016). Big data in nephrology: promises and pitfalls. Kidney Int, 90(2), 240–241. https://doi.org/10.1016/j.kint.2016.06.003
Nadkarni, Girish N., Steven G. Coca, and Christina M. Wyatt. “Big data in nephrology: promises and pitfalls.Kidney Int 90, no. 2 (August 2016): 240–41. https://doi.org/10.1016/j.kint.2016.06.003.
Nadkarni GN, Coca SG, Wyatt CM. Big data in nephrology: promises and pitfalls. Kidney Int. 2016 Aug;90(2):240–1.
Nadkarni, Girish N., et al. “Big data in nephrology: promises and pitfalls.Kidney Int, vol. 90, no. 2, Aug. 2016, pp. 240–41. Pubmed, doi:10.1016/j.kint.2016.06.003.
Nadkarni GN, Coca SG, Wyatt CM. Big data in nephrology: promises and pitfalls. Kidney Int. 2016 Aug;90(2):240–241.
Journal cover image

Published In

Kidney Int

DOI

EISSN

1523-1755

Publication Date

August 2016

Volume

90

Issue

2

Start / End Page

240 / 241

Location

United States

Related Subject Headings

  • Urology & Nephrology
  • Nephrology
  • Humans
  • Electronic Health Records
  • 3202 Clinical sciences
  • 1103 Clinical Sciences