417 citations · 428 across the 5 of their papers we have counts for
5 papers
Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep Gaussian Process (iTDGP)
Mohsen Soltanpour, Muhammad Yousefnezhad, Russ Greiner +2
As one of the leading causes of mortality and disability worldwide, Acute Ischemic Stroke (AIS) occurs when the blood supply to the brain is suddenly interrupted because of a block…
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…
Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning
Sepideh Emam, Amy X. Du, Philip Surmanowicz +3
Background. Real-world data show that approximately 50% of psoriasis patients treated with a biologic agent will discontinue the drug because of loss of efficacy. History of previo…
Competitive Fragmentation Modeling of ESI-MS/MS spectra for putative metabolite identification
F. Allen, R. Greiner, D. Wishart
Electrospray tandem mass spectrometry (ESI-MS/MS) is commonly used in high throughput metabolomics. One of the key obstacles to the effective use of this technology is the difficul…