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1 Ergebnisse
1
Machine learning risk prediction of mortality for patients ..:
Dajti, I
;
Valenzuela, J
;
Boccalatte, LA
...
issn:0007-1323. , 2021
Link:
http://hdl.handle.net/11343/307530
RT Journal T1
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
UL https://suche.suub.uni-bremen.de/peid=base-ftumelbourne:oai:jupiter.its.unimelb.edu.au:11343_307530&Exemplar=1&LAN=DE A1 Dajti, I A1 Valenzuela, J A1 Boccalatte, LA A1 Gemelli, NA A1 Smith, DE A1 Dudi-Venkata, NN A1 Kroon, HM A1 Sammour, T A1 Roberts, M A1 Mitchell, D A1 Lah, K A1 Pearce, A A1 Morton, A A1 Dawson, AC A1 Drane, A A1 Sharpin, C A1 Nataraja, RM A1 Pacilli, M A1 Cox, DRA A1 Muralidharan, V A1 Riddiough, GE A1 Clarke, EM A1 Jamel, W A1 Qin, KR A1 Pockney, P A1 Cope, D A1 Egoroff, N A1 Lott, N A1 Putnis, S A1 De Robles, S A1 Ang, Z A1 Mitteregger, M A1 Uranitsch, S A1 Stiegler, M A1 Seitinger, G A1 Aigner, F A1 Lumenta, DB A1 Nischwitz, SP A1 Richtig, E A1 Pau, M A1 Srekl-Filzmaier, P A1 Eibinger, N A1 Michelitsch, B A1 Fediuk, M A1 Papinutti, A A1 Seidel, G A1 Kahn, J A1 Cohnert, TU A1 Messner, F A1 ofner, D A1 Presl, J A1 Varga, M A1 Weitzendorfer, M A1 Emmanuel, K A1 Binder, AD A1 Zimmermann, M A1 Holawe, S A1 Nkenke, E A1 Grimm, C A1 Kranawetter, M A1 Mitul, AR A1 Islam, N A1 Karim, S A1 Komen, N A1 Ang, E A1 De Praetere, H A1 Tollens, T A1 Schols, G A1 Smets, C A1 Haenen, L A1 Quintens, J A1 Van Belle, K A1 Van Ramshorst, GH A1 Pattyn, P A1 Desender, L A1 Martens, T A1 Van de Putte, D A1 Lerut, P A1 Grimonprez, A A1 Janssen, M A1 De Smul, G A1 Wallaert, P A1 Van den Eynde, J A1 Oosterlinck, W A1 Van den Eynde, R A1 Sermon, A A1 Boeckxstaens, A A1 Cordonnier, A A1 De Coster, J A1 Jaekers, J A1 Politis, C A1 Miserez, M A1 Duchateau, N A1 De Gheldere, C A1 Flamey, N A1 Christiano, A A1 Guidi, B A1 Minussi, AL A1 Castro, S A1 Okoba, W A1 Maldonado, FHR A1 Oliveira, P A1 Baldasso, T A1 Santos, L A1 Gomes, GMA A1 Buarque, IL A1 Pol-Fachin, L A1 Bezerra, TS A1 Barros, A A1 da Silva, AMR A1 Leite, ALS A1 Silvestre, DWA A1 Ferro, CC A1 Araujo, MS A1 Lopes, LM A1 Damasceno, PD A1 Araujo, DHS A1 Laporte, G A1 Salem, MC A1 Guimaraes-Filho, MAC A1 Nacif, L A1 Flumignan, RLG A1 Nakano, LCU A1 Kuramoto, DAB A1 Aidar, ALS A1 Pereda, MR A1 Correia, RM A1 Santos, BC A1 Carvalho, AA A1 Amorim, JE A1 Guedes Neto, HJ A1 Areias, LL A1 Sousa, AF A1 Flumignan, CDQ A1 Lustre, WG A1 Moreno, DH A1 Barros, N A1 Baptista-Silva, JCC A1 Matos, LL A1 Kowaski, LP A1 Kulcsar, MA A1 Nunes, KS A1 Teixeira, MF A1 Nunes, RL A1 Ijichi, TR A1 Kim, NJ A1 Marreiro, A A1 Muller, B A1 Awada, JB A1 Baiocchi, G A1 Kowalski, LP A1 Vartanian, JG A1 Makdissi, FB A1 Aguiar, S A1 Marques, N A1 Carvalho, GB A1 Marques, TMDM A1 Abdallah, EA A1 Zurstrassen, CE A1 Gross, JL A1 Zequi, SC A1 Goncalves, BT A1 Santos, SS A1 Duprat, JP A1 Coimbra, FJF A1 Cicco, R A1 Takeda, F A1 Cecconello, I A1 Ribeiro, U A1 Gatti, A A1 Oliva, R A1 Nardi, C A1 Slavchev, M A1 Atanasov, B A1 Belev, N A1 Dell, A A1 Bigam, D A1 Dajani, K A1 Al Riyami, S A1 Martin, J A1 Cheng, D A1 Yang, H A1 Fayad, A A1 Carrier, FM A1 Amzallag, E A1 Desroches, J A1 Ruel, M A1 Caminsky, NG A1 Boutros, M A1 Moon, J A1 Wong, EG A1 Vanounou, T A1 Pelletier, J A1 Wong, S A1 Girsowicz, E A1 Bayne, J A1 Obrand, D A1 Gill, H A1 Steinmetz, O A1 MacKenzie, K PB OXFORD UNIV PRESS YR 2021 JF issn:0007-1323 LK http://hdl.handle.net/11343/307530 DO http://hdl.handle.net/11343/307530 SF ELIB - SuUB Bremen
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