Skip to main content
. Author manuscript; available in PMC: 2019 Aug 29.
Published in final edited form as: Expert Syst Appl. 2016 Jan 25;54:136–147. doi: 10.1016/j.eswa.2016.01.029

Table 2.

Summary of performance for Framingham 10-year CVD risk, a model with only biomarkers, and Wellness ScoreCard. Sensitivity, specificity, PPV, and NPV (95% confidence intervals) are determined by optimal cutoff given by ROC analysis.

Framingham Biomarkers Wellness ScoreCard
AUC 0.7975
(0.7431 – 0.8518)		 0.7664
(0.7087 – 0.8241)		 0.8403
(0.7924 – 0.8881)
Sensitivity 0.7403
(0.6803 – 0.7929)		 0.6948
(0.6329 – 0.7508)		 0.7597
(0.7009 – 0.8107)
Specificity 0.7474
(0.6878 – 0.7994)		 0.7474
(0.6878 – 0.7994)		 0.8211
(0.7665 – 0.8659)
PPV 0.8261
(0.7720 – 0.8703)		 0.8168
(0.7619 – 0.8621)		 0.8731
(0.8238 – 0.9111)
NPV 0.6396
(0.5763 – 0.6988)		 0.6017
(0.5378 – 0.6625)		 0.6783
(0.6158 – 0.7353)
Training error - - 0.2112
Test error - - 0.2429