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Skip to Search Results- 1Bainey, K.
- 1Beatty, Jessica A
- 1Bostick, Geoffrey Paul
- 1C. Jeffrey, S. Campbell, A. Krajacic, H. El-Hakim
- 1Cruz, J.A.
- 1El-Sayed, Suheil
- 11Graduate and Postdoctoral Studies (GPS), Faculty of
- 11Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 1Biological Sciences, Department of
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 1Computing Science, Department of
- 1Computing Science, Department of/Journal Articles (Computing Science)
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Fall 2009
This thesis addresses the challenge of prognosis, in terms of survival prediction, for patients with Glioblastoma Multiforme brain tumors. Glioblastoma is the most malignant brain tumor, which has a median survival time of no more than a year. Accurate assessment of prognostic factors is critical...
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Spontaneous recovery of bilateral congenital idiopathic laryngeal paralysis: Systematic non-meta-analytical Review
Download2013-12-01
Systematic review of the literature on the natural history of bilateral congenital idiopathic laryngeal paralysis
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Fall 2022
Background The discovery of angiotensin-converting enzyme 2 (ACE2) introduced an alternative protective arm of the renin-angiotensin system (RAS), the ACE2/Angiotensin 1-7 (Ang 1-7)/Mas receptor axis, to counterbalance the more renowned pathogenic angiotensin-converting enzyme (ACE)/Angiotensin...
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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...