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Artificial intelligence to predict the risk of mortality from Covid-19: Insights from a Canadian Application

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dc.contributor.authorSnider B
dc.contributor.authorPhillips P
dc.contributor.authorMacLean A
dc.contributor.authorMcBean E
dc.contributor.authorGadsden SA
dc.contributor.authorYawney J
dc.contributor.departmentMechanical Engineering
dc.date.accessioned2025-03-03T23:33:06Z
dc.date.available2025-03-03T23:33:06Z
dc.date.issued2020-09-30
dc.date.updated2025-03-03T23:33:04Z
dc.identifier.doihttps://doi.org/10.1101/2020.09.29.20201632
dc.identifier.urihttp://hdl.handle.net/11375/31368
dc.subject32 Biomedical and Clinical Sciences
dc.subject3202 Clinical Sciences
dc.subject42 Health Sciences
dc.subjectMachine Learning and Artificial Intelligence
dc.subjectEmerging Infectious Diseases
dc.subjectCoronaviruses
dc.subjectBioengineering
dc.subjectInfectious Diseases
dc.subject3 Good Health and Well Being
dc.titleArtificial intelligence to predict the risk of mortality from Covid-19: Insights from a Canadian Application
dc.typeArticle

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