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

Standard

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. / COVIDSurg Collaborative ; Böttcher, Arne.

in: BRIT J SURG, Jahrgang 108, Nr. 11, 11.11.2021, S. 1274-1292.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

COVIDSurg Collaborative & Böttcher, A 2021, 'Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score', BRIT J SURG, Jg. 108, Nr. 11, S. 1274-1292. https://doi.org/10.1093/bjs/znab183

APA

COVIDSurg Collaborative, & Böttcher, A. (2021). Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. BRIT J SURG, 108(11), 1274-1292. https://doi.org/10.1093/bjs/znab183

Vancouver

COVIDSurg Collaborative, Böttcher A. Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. BRIT J SURG. 2021 Nov 11;108(11):1274-1292. https://doi.org/10.1093/bjs/znab183

Bibtex

@article{579c4166c5414f90bb45a426e9d1053f,
title = "Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score",
abstract = "To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.",
keywords = "COVID-19/mortality, Cohort Studies, Datasets as Topic, Humans, Machine Learning, Models, Statistical, Risk Assessment, SARS-CoV-2, Surgical Procedures, Operative/mortality",
author = "{COVIDSurg Collaborative} and Betz, {Christian Stephan} and Arne B{\"o}ttcher",
year = "2021",
month = nov,
day = "11",
doi = "10.1093/bjs/znab183",
language = "English",
volume = "108",
pages = "1274--1292",
journal = "BRIT J SURG",
issn = "0007-1323",
publisher = "John Wiley and Sons Ltd",
number = "11",

}

RIS

TY - JOUR

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

AU - COVIDSurg Collaborative

AU - Betz, Christian Stephan

AU - Böttcher, Arne

PY - 2021/11/11

Y1 - 2021/11/11

N2 - To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

AB - To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

KW - COVID-19/mortality

KW - Cohort Studies

KW - Datasets as Topic

KW - Humans

KW - Machine Learning

KW - Models, Statistical

KW - Risk Assessment

KW - SARS-CoV-2

KW - Surgical Procedures, Operative/mortality

U2 - 10.1093/bjs/znab183

DO - 10.1093/bjs/znab183

M3 - SCORING: Journal article

C2 - 34227657

VL - 108

SP - 1274

EP - 1292

JO - BRIT J SURG

JF - BRIT J SURG

SN - 0007-1323

IS - 11

ER -