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Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data
dc.contributor.authorMathis, Michael
dc.coverage.spatialHeld Virtually
dc.date.accessioned2022-12-07T19:00:04Z
dc.date.available2022-12-07T19:00:04Z
dc.date.issued2022-11-16
dc.identifier.urihttps://hdl.handle.net/2027.42/175256
dc.description.abstractOnline presentation to BrainX-AI Community https://brainxai.org/connect/brainx-community-live-november-2022-ai-applications-in-perioperative-medicine/
dc.description.sponsorshipBrainX-AI
dc.titlePrediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data
dc.typePresentation
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175256/2/Hemodynamic Deterioration Prediction - Mathis - Gryak - 2022-11-16.pptx
dc.identifier.doihttps://dx.doi.org/10.7302/6637
dc.date.updated2022-12-07T18:59:56Z
dc.identifier.orcid0000-0002-9697-2212
dc.identifier.name-orcidMathis, Michael; 0000-0002-9697-2212
dc.owningcollnameAnesthesiology, Department of


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