Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: The COVIDSurg mortality score Journal Article
| Author: | COVIDSurg Collaborative |
| Contributors: | Ganly, I.; Brown, L. |
| Article 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. |
| Journal Title: | British Journal of Surgery |
| Volume: | 108 |
| Issue: | 11 |
| ISSN: | 0007-1323 |
| Publisher: | Oxford University Press |
| Date Published: | 2021-11-01 |
| Start Page: | 1274 |
| End Page: | 1292 |
| Language: | English |
| ACCESSION: | WOS:000728149000027 |
| DOI: | 10.1093/bjs/znab183 |
| PROVIDER: | wos |
| PMCID: | PMC8344569 |
| PUBMED: | 34227657 |
| Notes: | Article -- Source: Wos |
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