Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
| dc.contributor.author | COVIDSurg Collaborative | |
| dc.date.accessioned | 2021-12-09T11:29:14Z | |
| dc.date.available | 2021-12-09T11:29:14Z | |
| dc.date.issued | 2021-11 | |
| dc.description.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. | en_US |
| dc.identifier.citation | Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. Br J Surg. 2021 Nov 11;108(11):1274-1292. doi: 10.1093/bjs/znab183. PubMed PMID: 34227657; PubMed Central PMCID: PMC8344569. | en_US |
| dc.identifier.uri | https://ir.unilag.edu.ng/handle/123456789/9795 | |
| dc.language.iso | en | en_US |
| dc.publisher | Br J Surg | en_US |
| dc.title | Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score | en_US |
| dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- AFOLABI Machine learning risk prediction of mortality.........pdf
- Size:
- 451.67 KB
- Format:
- Adobe Portable Document Format
- Description:
- Collaborative research
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: