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[Preprint]. 2023 Jan 30:rs.3.rs-2510930. [Version 1] doi: 10.21203/rs.3.rs-2510930/v1

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This figure shows (A) the classification performance of the machine learning model against other reference standards for detecting occlusion myocardial infarction (OMI), (B) the independent clinical predictors of OMI on multivariate logistic regression testing, and (C) the overall sensitivity and specificity (95% confidence interval [CI]) of the derived OMI score, along with breakdown across subgroups based on age, sex, comorbidities, and baseline ECG findings. The size of markers denotes the sample size of the respective subgroup.