Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: The British journal of surgery. - 108, 11 (2021) , 1274-1292, ISSN: 1365-2168

Classification: Medizin, Gesundheit

Event: Veröffentlichung

(where): Freiburg

(who): Universität

(when): 2022

Creator: Bravo, Laura
Nepogodiev, Dmitri
Glasbey, James C
Li, Elizabeth
Simoes, Joana F. F.
Gkoutos, Georgios
Bhangu, Aneel
Eberbach, Helge Andreas
Bayer, Jörg
Erdle, Benjamin
Sandkamp, Richard

DOI: 10.1093/bjs/znab183

URN: urn:nbn:de:bsz:25-freidok-2234828

Rights: Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:41 PM CET

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Associated

Bravo, Laura
Nepogodiev, Dmitri
Glasbey, James C
Li, Elizabeth
Simoes, Joana F. F.
Gkoutos, Georgios
Bhangu, Aneel
Eberbach, Helge Andreas
Bayer, Jörg
Erdle, Benjamin
Sandkamp, Richard
Universität

Time of origin

2022

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"Mortality" 1991. copies

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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

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Other Objects (12)

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2 : the COVIDSurg mortality score

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Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

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Future mortality in low-mortality countries

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Old mortality

Impact of Bacillus Calmette-Guérin (BCG) vaccination on postoperative mortality in patients with perioperative SARS-CoV-2 infection

Multi-biomarker mortality prediction in patients with aortic stenosis undergoing valve replacement

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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2 : the COVIDSurg mortality score

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

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