6 citations · 13 across the 6 of their papers we have counts for
4 papers · 1 filter
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi +6
This research paper explores ways to apply Federated Learning (FL) and Differential Privacy (DP) techniques to population-scale Electrocardiogram (ECG) data. The study learns a mul…
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand +6
Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate action due to their potential devastating consequences on global health. Point-of-care routine assessment…
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi +5
Electrocardiogram (ECG) abnormalities are linked to cardiovascular diseases, but may also occur in other non-cardiovascular conditions such as mental, neurological, metabolic and i…
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady +2
The 12-lead electrocardiogram (ECG) is a commonly used tool for detecting cardiac abnormalities such as atrial fibrillation, blocks, and irregular complexes. For the PhysioNet/CinC…