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Fig. 3 | BMC Health Services Research

Fig. 3

From: Risk-adjustment models for heart failure patients’ 30-day mortality and readmission rates: the incremental value of clinical data abstracted from medical charts beyond hospital discharge record

Fig. 3

ROC curves for 30-day mortality models based on HDRs only (#1) and HDR plus clinical data (#2). Note: The ROC curve is a plot of sensitivity versus 1 − specificity (often called the false-positive rate) that offers a summary of sensitivity and specificity across a range of cut points for a continuous predictor. The area under the curve (AUC) ranges from 0.5 (no discrimination) to a theoretical maximum of 1 (perfect discrimination). Abbreviations: ROC, receiver operation characteristic; Model #1 AUC, area under curve for model based on HDR variables; Model #2 AUC, area under curve for model based on HDR plus OPD plus medical charts variables

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