Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling - Diamant, Nathaniel; Reinertsen, Erik; Song, Steven; Aguirre, Aaron D.; Stultz, Collin M.; Batra, Puneet (PLoS computational biology, 2022)
Keywords: Analysis; Atrial Fibrillation; Datasets; Deep learning; EKG; Electrocardiogram; Electrocardiography; Fibrillation; Health care; Heart; Humans; Hypertrophy; Machine learning; Neural networks; Neural Networks, Computer; Patients; Representations; Supervised Machine Learning; Training; Ventricle; United States