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- Q91916053 description "2020 թվականի ապրիլի 11-ին հրատարակված գիտական հոդված" @default.
- Q91916053 description "artículu científicu espublizáu n'abril de 2020" @default.
- Q91916053 description "im April 2020 veröffentlichter wissenschaftlicher Artikel" @default.
- Q91916053 description "scientific article published on 11 April 2020" @default.
- Q91916053 description "wetenschappelijk artikel" @default.
- Q91916053 description "наукова стаття, опублікована 11 квітня 2020" @default.
- Q91916053 name "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 name "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 type Item @default.
- Q91916053 label "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 label "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 prefLabel "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 prefLabel "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 P1433 Q91916053-7D8B4D2C-025C-4FF6-9386-E597372D0283 @default.
- Q91916053 P1476 Q91916053-0555FE13-9400-495B-A68F-30DD1DAD4958 @default.
- Q91916053 P2093 Q91916053-00148F1A-41DF-4F10-A6EC-ACA214C81B14 @default.
- Q91916053 P2093 Q91916053-0180F5E1-B105-48AA-BFB2-2B93774D85B7 @default.
- Q91916053 P2093 Q91916053-503BA28D-A516-4E69-9AEC-A02A6C36F5AD @default.
- Q91916053 P2093 Q91916053-8496889C-5E91-4A95-9431-9327B083DF13 @default.
- Q91916053 P2093 Q91916053-C29FA957-1A1B-4B34-A796-D900A4DFFF3A @default.
- Q91916053 P2093 Q91916053-F240DC07-5C8A-4DA2-AF71-04C51F74A430 @default.
- Q91916053 P31 Q91916053-49E401F6-132B-4D16-B338-34513FFA7C66 @default.
- Q91916053 P356 Q91916053-2A6C221D-3611-47A5-9C73-A16E1C9C8323 @default.
- Q91916053 P577 Q91916053-2D68E58B-8227-47A9-BCF8-17A9BAC3FE87 @default.
- Q91916053 P698 Q91916053-2B85755A-DF78-4EBC-8F50-76F5C2F22010 @default.
- Q91916053 P921 Q91916053-31F5FE53-025B-4882-89C0-877191B675B0 @default.
- Q91916053 P356 J.REHAB.2020.01.009 @default.
- Q91916053 P698 32289485 @default.
- Q91916053 P1433 Q15754045 @default.
- Q91916053 P1476 "Machine learning modelling of neuropsychological performance could determine vocational training outcome after a brain injury: case report" @default.
- Q91916053 P2093 "Christine Moroni" @default.
- Q91916053 P2093 "Fabien Torre" @default.
- Q91916053 P2093 "Helene Delecroix" @default.
- Q91916053 P2093 "Laurence Chartaux-Danjou" @default.
- Q91916053 P2093 "Romina Manoli" @default.
- Q91916053 P2093 "Walter Daveluy" @default.
- Q91916053 P31 Q13442814 @default.
- Q91916053 P356 "10.1016/J.REHAB.2020.01.009" @default.
- Q91916053 P577 "2020-04-11T00:00:00Z" @default.
- Q91916053 P698 "32289485" @default.
- Q91916053 P921 Q2539 @default.