Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

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

(COVIDSurg Collaborative) Dajti, I ; ... ; Mihanović, Jakov ; ... ; D Mazingi, D. Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score // British journal of surgery, 108 (2021), 11; 1274-1292. doi: 10.1093/bjs/znab183

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

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

Poveznice
Indeksiranost