Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score (CROSBI ID 301393)
Prilog u časopisu | ostalo | međunarodna recenzija
Podaci o odgovornosti
Dajti, I ; ... ; Mihanović, Jakov ; ... ; D Mazingi, D.
COVIDSurg Collaborative
engleski
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
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.
perioperative care ; surgical procedures ; operative mortality ; machine learning ; sars-cov-2
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Podaci o izdanju
108 (11)
2021.
1274-1292
objavljeno
0007-1323
0007-1323
10.1093/bjs/znab183
Povezanost rada
Javno zdravstvo i zdravstvena zaštita, Kliničke medicinske znanosti