1. Receiver operating characteristic curve analysis of clinical risk models 
Gary L Grunkemeier, PhD, Ruyun Jin, MD 
The Annals of Thoracic Surgery 
Volume 72, Issue 2, Pages (August 2001)
DOI: /S (01)

2. Fig 1
Distribution of patients undergoing coronary artery bypass grafting according to surgical urgency. Hospital survivors are shown by gray bars and hospital deaths by black bars, with mortality percentages above them.
The Annals of Thoracic Surgery  , DOI: ( /S (01) )

3. Fig 2
The receiver operating characteristic curve based on the risk factor for surgical urgency. The circled letters correspond to the cut points in Table 2. (AUC = area under the curve.)
The Annals of Thoracic Surgery  , DOI: ( /S (01) )

4. Fig 3
Distribution of patients undergoing coronary artery bypass grafting according to patient age. Hospital survivors are shown by gray bars and hospital deaths by black bars.
The Annals of Thoracic Surgery  , DOI: ( /S (01) )

5. Fig 4
The receiver operating characteristic curve of ages. This receiver operating characteristic curve is based on patient age only, used as a risk model. Each dot represents a single year of age. (AUC = area under the curve.)
The Annals of Thoracic Surgery  , DOI: ( /S (01) )

6. Fig 5
Number of papers abstracted by MedLine with a “ROC curve” Medical Subject Headings, by year of publication.
The Annals of Thoracic Surgery  , DOI: ( /S (01) )