Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31368| Title: | Artificial intelligence to predict the risk of mortality from Covid-19: Insights from a Canadian Application |
| Authors: | Snider B Phillips P MacLean A McBean E Gadsden SA Yawney J |
| Department: | Mechanical Engineering |
| Keywords: | 32 Biomedical and Clinical Sciences;3202 Clinical Sciences;42 Health Sciences;Machine Learning and Artificial Intelligence;Emerging Infectious Diseases;Coronaviruses;Bioengineering;Infectious Diseases;3 Good Health and Well Being |
| Publication Date: | 30-Sep-2020 |
| URI: | http://hdl.handle.net/11375/31368 |
| metadata.dc.identifier.doi: | https://doi.org/10.1101/2020.09.29.20201632 |
| Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020.09.29.20201632v1.full.pdf | Published version | 194.67 kB | Adobe PDF | View/Open |
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