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Using deep networks for scientific discovery in physiological signals., , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 685-709. PMLR, (2020)An integration engineering framework for machine learning in healthcare., , , , , , , , , and 3 other author(s). Frontiers Digit. Health, (2022)Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting., , , , , and . CinC, www.cinc.org, (2017)Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability., , , , , , , , , and 2 other author(s). CinC, page 1-4. IEEE, (2020)Making machine learning matter to clinicians: model actionability in medical decision-making., , , , and . npj Digit. Medicine, (2023)Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings., , , , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 83-101. PMLR, (2018)About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations., , and . CoRR, (2021)Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU., , , , , , , , and . MLHC, volume 85 of Proceedings of Machine Learning Research, page 534-550. PMLR, (2018)