crossrefAI2025-03-14Cited by 7
Clinical Applicability of Machine Learning Models for Binary and Multi-Class Electrocardiogram Classification
Daniel Nasef, Demarcus Nasef, Kennette James Basco, Alana Singh, Christina Hartnett, Michael Ruane, et al.
Background: This study investigates the application of machine learning models to classify electrocardiogram signals, addressing challenges such as class imbalances and inter-class overlap. In this study, “normal” and “abnormal” refer to electrocardiogram findings that either ali…