
Machine learning for diagnosis of myocardial infarction
High-sensitivity cardiac troponin assays have been included in the diagnostic approaches for patients with symptoms suggesting acute myocardial infarction 1,2. To improve diagnosis and overcome limitations associated with high-sensitivity cardiac troponin assays, a machine learning model was developed to integrate cardiac troponin concentrations at presentation