Published
01 November 2021
  • Journal article

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

Authors
COVIDSurg Collaborative 
Source
British Journal of Surgery

Abstract

No abstract available.

Rights

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite as

COVIDSurg Collaborative. 2021, 'Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score', British Journal of Surgery, 108(11), pp. 1274-1292. http://dx.doi.org/10.1093/bjs/znab183

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Topics
Coronavirus (COVID-19)
Keywords
COVID-19 Mortality Risk factor Long term conditions Secondary Care Risk assessment Modelling
Funder
National Institute for Health Research (NIHR) Global Health Research Unit; 
Association of Coloproctology of Great Britain and Ireland; 
Bowel & Cancer Research; 
Bowel Cancer UK; 
Association of Upper Gastrointestinal Surgeons; 
British Association of Surgical Oncology; 
British Gynaecological Cancer Society; 
European Society of Coloproctology; 
Medtronic; 
NIHR Academy; 
The Urology Foundation; 
Sarcoma UK; 
Vascular Society for Great Britain and Ireland; 
Yorkshire Cancer Research; 
Health Data Research UK
Publisher
Oxford University Press
Source repository
University of Glasgow
Last updated: 16 June 2022
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