This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 2Electrocardiogram (ECG)
- 1Borates
- 1Branching particle approximations
- 1Cadlag Process
- 1Cardiac abnormalities
- 1Cardiovascular diseases
- 5Computing Science, Department of
- 4Computing Science, Department of/Conference Papers (Computing Science)
- 2Mathematical and Statistical Sciences, Department of
- 2Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
- 1ERA General Collection
- 1ERA General Collection/Research Materials (ERA General)
-
An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS)
Download2023
Sun, W., Iwuchukwu, S., Bangash, A.A., Hindle, Abram
The value of teamwork is being recognized by project owners, resulting in an increased acknowledgement of collaboration among developers in software engineering. A good understanding of how developers work together could positively impact software development practices. In this paper, we...
-
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...
-
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....
-
2004
Kouritzin, Michael, Long, H., Sun, W.
Herein, we consider direct Markov chain approximations to the Duncan–Mortensen–Zakai equations for nonlinear filtering problems on regular, bounded domains. For clarity of presentation, we restrict our attention to reflecting diffusion signals with symmetrizable generators. Our Markov chains are...
-
2020
Wong, A.W., Sun, W., Kalmady, S.V., Kaul, P., Hindle, Abram
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 2020 Challenge, we built an algorithm using gradient boosted tree ensembles fitted on morphology and signal...
-
2005
Herein, we analyze an efficient branching particle method for asymptotic solutions to a class of continuous-discrete filtering problems. Suppose that t→Xt is a Markov process and we wish to calculate the measure-valued process t→μt(⋅)≐P{Xt∈⋅|σ{Ytk, tk≤t}}, where tk=kɛ and Ytk is a distorted,...
-
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Download2023
Sun, W., Kalmady, S.V., Sepehrvand, N., Salimi, A., Nademi, Y., Bainey, K., Ezekowitz, J.A., Greiner, R., Hindle, Abram, McAlister, F.A., Sandhu, R.K., Kaul, P.
The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based machine learning models to predict risk of mortality...
-
2017-01-01
Zhou, B., Faucher, A., Laskowski, R., Terskikh, V.V., Kroeker, S., Sun, W., Lin, J., Mi, J-X., Michaelis, V.K., Pan, Y.
A series of well-characterized magnesium borate minerals and synthetic analogues have been studied via ultrahigh-field 25Mg solid-state NMR spectroscopy. Correlations between 25Mg NMR parameters and the local structure at the magnesium site(s) are highlighted and discussed. First-principles...
-
2013-11-22
We address the missing analog of vague convergence in the weak-converge large-deviations analogy. Specifically, we introduce the weak Laplace principle and show it implies both the well-known weak LDP and the Laplace principle lower bound. Both the weak LDP and weak Laplace principle hold in...