Fig. 2: Diagnostic performance of the CoDE-ACS score in the external validation cohort using the presentation troponin concentration alone. | Nature Medicine

Fig. 2: Diagnostic performance of the CoDE-ACS score in the external validation cohort using the presentation troponin concentration alone.

From: Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations

Fig. 2: Diagnostic performance of the CoDE-ACS score in the external validation cohort using the presentation troponin concentration alone.

a, Receiver-operating characteristic curve illustrating the discrimination of the CoDE-ACS for myocardial infarction. b, Calibration of the CoDE-ACS score with the observed proportion of patients with myocardial infarction. The dashed line represents perfect calibration. Each point represents 100 patients. Patients are grouped as low (<3), intermediate (3–60) or high probability (≥61) of myocardial infarction. The darker shaded area represents the 95% CI, while the lighter shaded area represents the 99% CI. AUC, area under curve.

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