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oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/134002026-10-18T20:28:14Zopenairedrivercom_ebyu_10000col_ebyu_10001

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: The COVIDSurg mortality scoreBravo, LauraNepogodiev, DmitriGlasbey, James C.Li, ElizabethSimoes, Joana F.F.Kamarajah, Sivesh K.Picciochi, MariaAbbott, Tom E.F.Ademuyiwa, Adesoji O.Arnaud, Alexis P.Agarwal, ArnavBrar, AmanpreetElhadi, MuhammedMazingi, DennisCardoso, Victor RothLawday, SamuelSayyed, RazaOmar, Omar M.de la Madina, Antonio RamosSlater, LukeVenn, Mary L.Gkoutos, GeorgiosBhangu, AneelKarwath, AndreasSiaw-Acheampong, KwabenaArgus, LeahChaudhry, DaoudDawson, Brett E.Gujjuri, Rohan R.Jones, Conor S.Khatri, ChetanKeatley, James M.Mann, HarvinderMarson, Ella J.Mclean, Kenneth A.Taylor, Elliott H.Tiwari, AbhinavTrout, Isobel M.Wilkin, R.Dajti, IridaGjata, ArbenBoccalatte, LuisModolo, Maria MartaCox, DanielPockney, PeterTownend, PhilipAigner, FelixKronberger, IrmgardHossain, KamralVanRamshorst, GabriellealgorithmArticlecohort analysiscontrolled studycoronavirus disease 2019diagnostic test accuracy studyfeature selectionhumanmachine learningmortalitymulticenter studyoutcome assessmentpredictionprospective studyreceiver operating characteristicriskSevere acute respiratory syndrome coronavirus 2validation studyOxford University Press2021Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/13400https://doi.org/10.1093/bjs/znab1830007-1323enBritish Journal of Surgeryinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/13400