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Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data.

Publication ,  Journal Article
Puthucheary, ZA; Wischmeyer, P
Published in: Crit Care
January 30, 2017

Duke Scholars

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Published In

Crit Care

DOI

EISSN

1466-609X

Publication Date

January 30, 2017

Volume

21

Issue

1

Start / End Page

20

Location

England

Related Subject Headings

  • Statistics as Topic
  • Precision Medicine
  • Intensive Care Units
  • Humans
  • Emergency & Critical Care Medicine
  • Decision Support Techniques
  • Critical Illness
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

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Puthucheary, Z. A., & Wischmeyer, P. (2017). Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data. Crit Care, 21(1), 20. https://doi.org/10.1186/s13054-016-1597-6
Puthucheary, Zudin A., and Paul Wischmeyer. “Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data.Crit Care 21, no. 1 (January 30, 2017): 20. https://doi.org/10.1186/s13054-016-1597-6.
Puthucheary, Zudin A., and Paul Wischmeyer. “Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data.Crit Care, vol. 21, no. 1, Jan. 2017, p. 20. Pubmed, doi:10.1186/s13054-016-1597-6.

Published In

Crit Care

DOI

EISSN

1466-609X

Publication Date

January 30, 2017

Volume

21

Issue

1

Start / End Page

20

Location

England

Related Subject Headings

  • Statistics as Topic
  • Precision Medicine
  • Intensive Care Units
  • Humans
  • Emergency & Critical Care Medicine
  • Decision Support Techniques
  • Critical Illness
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences