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Thoroughly modern risk prediction?

Publication ,  Journal Article
Pencina, MJ; D'Agostino, RB
Published in: Sci Transl Med
April 25, 2012

Researchers use a data-driven technique called statistical learning to fashion risk prediction algorithms for clinical situations with low event rates.

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Published In

Sci Transl Med

DOI

EISSN

1946-6242

Publication Date

April 25, 2012

Volume

4

Issue

131

Start / End Page

131fs10

Location

United States

Related Subject Headings

  • Models, Statistical
  • Humans
  • Decision Support Techniques
  • Data Mining
  • Algorithms
  • 4003 Biomedical engineering
  • 3206 Medical biotechnology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences
 

Citation

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MLA
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Pencina, M. J., & D’Agostino, R. B. (2012). Thoroughly modern risk prediction? Sci Transl Med, 4(131), 131fs10. https://doi.org/10.1126/scitranslmed.3004127
Pencina, Michael J., and Ralph B. D’Agostino. “Thoroughly modern risk prediction?Sci Transl Med 4, no. 131 (April 25, 2012): 131fs10. https://doi.org/10.1126/scitranslmed.3004127.
Pencina MJ, D’Agostino RB. Thoroughly modern risk prediction? Sci Transl Med. 2012 Apr 25;4(131):131fs10.
Pencina, Michael J., and Ralph B. D’Agostino. “Thoroughly modern risk prediction?Sci Transl Med, vol. 4, no. 131, Apr. 2012, p. 131fs10. Pubmed, doi:10.1126/scitranslmed.3004127.
Pencina MJ, D’Agostino RB. Thoroughly modern risk prediction? Sci Transl Med. 2012 Apr 25;4(131):131fs10.

Published In

Sci Transl Med

DOI

EISSN

1946-6242

Publication Date

April 25, 2012

Volume

4

Issue

131

Start / End Page

131fs10

Location

United States

Related Subject Headings

  • Models, Statistical
  • Humans
  • Decision Support Techniques
  • Data Mining
  • Algorithms
  • 4003 Biomedical engineering
  • 3206 Medical biotechnology
  • 11 Medical and Health Sciences
  • 06 Biological Sciences