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

COVIDSurg Collaborative

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

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

Original language	English
Article number	znab183
Journal	British Journal of Surgery
Volume	19
Issue number	4
DOIs	https://doi.org/10.1093/bjs/znab183
Publication status	Published - 1 Jan 2021
Externally published	Yes

ASJC Scopus subject areas

Surgery

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/bjs/znab183

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@article{7301c0e18c464c36a805f6982e0b2e46,

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

author = "\{COVIDSurg Collaborative\} and Laura Bravo and Dmitri Nepogodiev and Glasbey, \{James C.\} and Elizabeth Li and Simoes, \{Joana F.F.\} and Kamarajah, \{Sivesh K.\} and Maria Picciochi and Abbott, \{Tom E.F.\} and Ademuyiwa, \{Adesoji O.\} and Arnaud, \{Alexis P.\} and Arnav Agarwal and Amanpreet Brar and Muhammed Elhadi and Dennis Mazingi and Cardoso, \{Victor Roth\} and Samuel Lawday and Raza Sayyed and Omar, \{Omar M.\} and \{de la Madina\}, \{Antonio Ramos\} and Luke Slater and Venn, \{Mary L.\} and Georgios Gkoutos and Aneel Bhangu and Andreas Karwath and Kwabena Siaw-Acheampong and Leah Argus and Daoud Chaudhry and Dawson, \{Brett E.\} and Gujjuri, \{Rohan R.\} and Jones, \{Conor S.\} and Chetan Khatri and Keatley, \{James M.\} and Harvinder Mann and Marson, \{Ella J.\} and Mclean, \{Kenneth A.\} and Taylor, \{Elliott H.\} and Abhinav Tiwari and Trout, \{Isobel M.\} and Wilkin, \{Richard J.W.\} and Irida Dajti and Arben Gjata and Luis Boccalatte and Modolo, \{Maria Marta\} and Daniel Cox and Peter Pockney and Philip Townend and Felix Aigner and Irmgard Kronberger and Kamral Hossain and O. Brown",

year = "2021",

month = jan,

day = "1",

doi = "10.1093/bjs/znab183",

language = "English",

volume = "19",

journal = "British Journal of Surgery",

issn = "0007-1323",

publisher = "Oxford University Press",

number = "4",

}

TY - JOUR

T1 - Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2

T2 - The COVIDSurg mortality score

AU - COVIDSurg Collaborative

AU - Bravo, Laura

AU - Nepogodiev, Dmitri

AU - Glasbey, James C.

AU - Li, Elizabeth

AU - Simoes, Joana F.F.

AU - Kamarajah, Sivesh K.

AU - Picciochi, Maria

AU - Abbott, Tom E.F.

AU - Ademuyiwa, Adesoji O.

AU - Arnaud, Alexis P.

AU - Agarwal, Arnav

AU - Brar, Amanpreet

AU - Elhadi, Muhammed

AU - Mazingi, Dennis

AU - Cardoso, Victor Roth

AU - Lawday, Samuel

AU - Sayyed, Raza

AU - Omar, Omar M.

AU - de la Madina, Antonio Ramos

AU - Slater, Luke

AU - Venn, Mary L.

AU - Gkoutos, Georgios

AU - Bhangu, Aneel

AU - Karwath, Andreas

AU - Siaw-Acheampong, Kwabena

AU - Argus, Leah

AU - Chaudhry, Daoud

AU - Dawson, Brett E.

AU - Gujjuri, Rohan R.

AU - Jones, Conor S.

AU - Khatri, Chetan

AU - Keatley, James M.

AU - Mann, Harvinder

AU - Marson, Ella J.

AU - Mclean, Kenneth A.

AU - Taylor, Elliott H.

AU - Tiwari, Abhinav

AU - Trout, Isobel M.

AU - Wilkin, Richard J.W.

AU - Dajti, Irida

AU - Gjata, Arben

AU - Boccalatte, Luis

AU - Modolo, Maria Marta

AU - Cox, Daniel

AU - Pockney, Peter

AU - Townend, Philip

AU - Aigner, Felix

AU - Kronberger, Irmgard

AU - Hossain, Kamral

AU - Brown, O.

PY - 2021/1/1

Y1 - 2021/1/1

UR - http://www.scopus.com/inward/record.url?scp=85113431484&partnerID=8YFLogxK

U2 - 10.1093/bjs/znab183

DO - 10.1093/bjs/znab183

M3 - Article

C2 - 34227657

AN - SCOPUS:85113431484

SN - 0007-1323

VL - 19

JO - British Journal of Surgery

JF - British Journal of Surgery

IS - 4

M1 - znab183

ER -

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

ASJC Scopus subject areas

UN SDGs

Access to Document

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