V. Kouznetsova

Analysis of Interpretable Machine Learning Classifiers for Myocardial Infarction Detection Using 12-Lead ECG Features

Swift identification of cardiac events is crucial for enhancing patient outcomes. Electrocardiograms (ECGs) are noninvasive and can be quickly taken. Machine learning (ML) can then be used to assist in recognizing possible myocardial infarction. ECG recordings were extracted from a public database, and features related...