3 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SP2022★ 3 cited
Electrocardiographic Deep Learning for Predicting Post-Procedural Mortality
David Ouyang, John Theurer, Nathan R. Stein +21
Background. Pre-operative risk assessments used in clinical practice are limited in their ability to identify risk for post-operative mortality. We hypothesize that electrocardiogr…
cs.LG2018★ 2 cited
Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification
J. Weston Hughes, Taylor Sittler, Anthony D. Joseph +3
We develop a multi-task convolutional neural network (CNN) to classify multiple diagnoses from 12-lead electrocardiograms (ECGs) using a dataset comprised of over 40,000 ECGs, with…