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- Q91247114 description "article scientifique publié en 2019" @default.
- Q91247114 description "artículu científicu espublizáu en payares de 2019" @default.
- Q91247114 description "im November 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q91247114 description "scientific article published on 02 November 2019" @default.
- Q91247114 description "wetenschappelijk artikel" @default.
- Q91247114 description "наукова стаття, опублікована 2 листопада 2019" @default.
- Q91247114 name "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 name "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 type Item @default.
- Q91247114 label "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 label "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 prefLabel "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 prefLabel "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 P1433 Q91247114-1E6CECFD-6137-40DF-8FD8-48BD67E2A3B7 @default.
- Q91247114 P1476 Q91247114-EBD342F1-63C7-4949-84F0-29C055D87EF3 @default.
- Q91247114 P2093 Q91247114-0A8EC052-AEFD-4E05-99B8-15AE13A62B75 @default.
- Q91247114 P2093 Q91247114-0EE0D0FF-012B-40DA-BCFA-AC0606B7F2A7 @default.
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- Q91247114 P2093 Q91247114-93C0F2AD-EB1D-4686-B823-AB31E6D1CBAF @default.
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- Q91247114 P2093 Q91247114-CA259CFA-340D-406C-BD27-0A59F40ADE49 @default.
- Q91247114 P2093 Q91247114-E8B64BEA-10C1-4D99-94C9-E23D66197331 @default.
- Q91247114 P304 Q91247114-90595970-16FF-4E06-A8CC-450804E349DE @default.
- Q91247114 P31 Q91247114-406FC707-849B-4A18-A509-BB6BF1285B23 @default.
- Q91247114 P356 Q91247114-8ACBAAA9-0912-4499-A866-B465FF956988 @default.
- Q91247114 P478 Q91247114-2B10301C-44DC-4ADF-8F57-0EA9D813706A @default.
- Q91247114 P577 Q91247114-FE1F6E94-48B3-4631-99EA-77CD7AF449B0 @default.
- Q91247114 P698 Q91247114-9D65E6D7-E85B-4658-8818-6A7B637CC241 @default.
- Q91247114 P921 Q91247114-070D4CAF-AEEC-4A31-9030-709235FCCC26 @default.
- Q91247114 P356 J.JCRC.2019.10.015 @default.
- Q91247114 P698 31715534 @default.
- Q91247114 P1433 Q15749406 @default.
- Q91247114 P1476 "Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer" @default.
- Q91247114 P2093 "Alexandre Biasi Cavalcanti" @default.
- Q91247114 P2093 "Alexandre Dias Porto Chiavegatto Filho" @default.
- Q91247114 P2093 "Antonio Carlos Pedroso de Lima" @default.
- Q91247114 P2093 "Fernando Godinho Zampieri" @default.
- Q91247114 P2093 "Gisela Tunes da Silva" @default.
- Q91247114 P2093 "Hellen Geremias Dos Santos" @default.
- Q91247114 P2093 "Karina Normilio-Silva" @default.
- Q91247114 P304 "73-78" @default.
- Q91247114 P31 Q13442814 @default.
- Q91247114 P356 "10.1016/J.JCRC.2019.10.015" @default.
- Q91247114 P478 "55" @default.
- Q91247114 P577 "2019-11-02T00:00:00Z" @default.
- Q91247114 P698 "31715534" @default.
- Q91247114 P921 Q2539 @default.