@article{Manick_J-2021_57878,
title = {Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2:the COVIDSurg mortality score},
author = {Manick, J. and COVIDSurg Collaborative},
month = {nov},
year = {2021},
abstract = {Since the beginning of the COVID-19 pandemic tens of millions of operations have been cancelled1as 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.},
pages = {1274-1292},
volume = {108},
issue = {11},
journal = {British Journal of Surgery},
publisher = {Oxford University Press},
url = {https://doi.org/10.1093/bjs/znab183},
}
