29 citations · 55 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
Automated and Interpretable Patient ECG Profiles for Disease Detection, Tracking, and Discovery
Geoffrey H. Tison, Jeffrey Zhang, Francesca N. Delling +1
The electrocardiogram or ECG has been in use for over 100 years and remains the most widely performed diagnostic test to characterize cardiac structure and electrical activity. We…
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple…