Fig. 4: External validation of the ECG-SMART algorithm.
From: Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
a–c, This figure shows the classification performance of the machine learning model against other reference standards for detecting OMI on the external validation set (n = 3,287) (a), adjusted OR (center) with 95% CI (error bars) for the independent clinical predictors of OMI on the external validation set (n = 3,287) (b) and the overall sensitivity and specificity (center) with 95% CI (error bars) of the derived OMI score, along with breakdown across subgroups based on age, sex, comorbidities and baseline ECG findings (c). The size of the center marker is proportionate to the sample size of the respective subgroup.
