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

COVIDSurg Collaborative; Jai Manick

doi:10.1093/bjs/znab183

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

COVIDSurg Collaborative, Jai Manick

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

1348 Downloads (Pure)

Original language	English
Pages (from-to)	1274-1292
Number of pages	19
Journal	The British journal of surgery
Volume	108
Issue number	11
DOIs	https://doi.org/10.1093/bjs/znab183
Publication status	Published - 11 Nov 2021

ASJC Scopus subject areas

Surgery

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10.1093/bjs/znab183Licence: CC BY

Final Published VersionFinal published version, 488 KBLicence: CC BY

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

author = "{COVIDSurg Collaborative} and Jai Manick",

year = "2021",

month = nov,

day = "11",

doi = "10.1093/bjs/znab183",

language = "English",

volume = "108",

pages = "1274--1292",

journal = "The British journal of surgery",

issn = "0007-1323",

publisher = "Oxford University Press",

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}

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T2 - the COVIDSurg mortality score

AU - COVIDSurg Collaborative

AU - Manick, Jai

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U2 - 10.1093/bjs/znab183

DO - 10.1093/bjs/znab183

M3 - Article

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SN - 0007-1323

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SP - 1274

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JO - The British journal of surgery

JF - The British journal of surgery

IS - 11

ER -

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

ASJC Scopus subject areas

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