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
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