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Conference Papers (Computing Science)
Items in this Collection
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ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Download2021
Sun, W., Kalmady, S.V., Salimi, A.S., Sepehrvand, N., Ly, E., Hindle, Abram, Greiner, R., Kaul, P.
Electrocardiogram (ECG) abnormalities are linked to cardiovascular diseases, but may also occur in other non-cardiovascular conditions such as mental, neurological, metabolic and infectious conditions. However, most of the recent success of deep learning (DL) based diagnostic predictions in...
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Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale
Download2022
Sun, W., Kalmady, S.V., Wang, Z., Salimi, A., Sepehrvand, N., Hindle, Abram, Chu, L.M., Greiner, R., Kaul, P.
Pandemic outbreaks such as COVID-19 occur unexpectedly, and need immediate action due to their potential devastating consequences on global health. Point-ofcare routine assessments such as electrocardiogram (ECG), can be used to develop prediction models for identifying individuals at risk....