Abstract
We developed, validated, and demonstrated highly improved accuracy of 2 clinical algorithms for global cardiovascular risk prediction that reclassified 40% to 50% of women at intermediate risk into higher- or lower-risk categories.
Keywords
MedicineCohortCovariateFramingham Risk ScoreRisk assessmentCohort studyMyocardial infarctionBayes' theoremDerivationAlgorithmInternal medicineStatisticsDiseaseBayesian probabilityComputer scienceMathematics
Affiliated Institutions
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Publication Info
- Year
- 2007
- Type
- article
- Volume
- 297
- Issue
- 6
- Pages
- 611-611
- Citations
- 1773
- Access
- Closed
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Cite This
Paul M. Ridker,
Julie E. Buring,
Nader Rifai
et al.
(2007).
Development and Validation of Improved Algorithms for the Assessment of Global Cardiovascular Risk in Women.
JAMA
, 297
(6)
, 611-611.
https://doi.org/10.1001/jama.297.6.611
Identifiers
- DOI
- 10.1001/jama.297.6.611