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

Authors: Manick, Jai;

COVIDSurg Collaborative

Source: The British journal of surgery

Full text

: https://doi.org/10.1093/bjs/znab183

Abstract

Since the beginning of the COVID-19 pandemic tens of millions of operations have been cancelled¹ as a result of excessive postoperative pulmonary complications (51.2 per cent) and mortality rates (23.8 per cent) in patients with perioperative SARS-CoV-2 infection². There is an urgent need to restart surgery safely in order to minimize the impact of untreated non-communicable disease.

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Manick, J. & 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. https://doi.org/10.1093/bjs/znab183

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DOI: https://doi.org/10.1093/bjs/znab183

Repository URI: https://discovery.dundee.ac.uk/en/publications/f3309619-3f42-45a6-9705-acef19e699c7