Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

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

APA
Chicago
ICMJE
MLA
NLM
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