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S12. A MACHINE LEARNING FRAMEWORK FOR ROBUST AND RELIABLE P..:
Ebdrup, Bjørn H
;
Hansen, Lars K
;
Glenthøj, Birte Y
...
Schizophrenia Bulletin. 46 (2020) Supplement_1 - p. S34-S35 , 2020
Link:
https://doi.org/10.1093/schbul/sbaa031.078
RT Journal T1
S12. A MACHINE LEARNING FRAMEWORK FOR ROBUST AND RELIABLE PREDICTION OF SHORT- AND LONG-TERM CLINICAL RESPONSE IN INITIALLY ANTIPSYCHOTIC-NAïVE SCHIZOPHRENIA PATIENTS BASED ON MULTIMODAL NEUROPSYCHIATRIC DATA
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_schbul_sbaa031.078&Exemplar=1&LAN=DE A1 Ebdrup, Bjørn H A1 Hansen, Lars K A1 Glenthøj, Birte Y A1 Kinon, Bruce J A1 Pantelis, Christos A1 Fagerlund, Birgitte A1 Osler, Merete A1 Nielsen, Mette Ø A1 Rostrup, Egill A1 Oranje, Bob A1 Raghava, Jayachandra M A1 Johansen, Louise B A1 Christensen, Søren R A1 Arvastson, Lars A1 Bak, Nikolaj A1 Axelsen, Martin C A1 Foldager, Jonathan A1 Skjerbæk, Martin W A1 Ambrosen, Karen S PB Oxford University Press (OUP) YR 2020 SN 0586-7614 SN 1745-1701 JF Schizophrenia Bulletin VO 46 IS Supplement_1 SP S34 OP S35 LK http://dx.doi.org/https://doi.org/10.1093/schbul/sbaa031.078 DO https://doi.org/10.1093/schbul/sbaa031.078 SF ELIB - SuUB Bremen
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