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1 Ergebnisse
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A machine-learning framework for robust and reliable predic..:
Ambrosen, Karen S.
;
Skjerbæk, Martin W.
;
Foldager, Jonathan
...
Translational Psychiatry. 10 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1038/s41398-020-00962-8
RT Journal T1
A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41398-020-00962-8&Exemplar=1&LAN=DE A1 Ambrosen, Karen S. A1 Skjerbæk, Martin W. A1 Foldager, Jonathan A1 Axelsen, Martin C. A1 Bak, Nikolaj A1 Arvastson, Lars A1 Christensen, Søren R. A1 Johansen, Louise B. A1 Raghava, Jayachandra M. A1 Oranje, Bob A1 Rostrup, Egill A1 Nielsen, Mette Ø. A1 Osler, Merete A1 Fagerlund, Birgitte A1 Pantelis, Christos A1 Kinon, Bruce J. A1 Glenthøj, Birte Y. A1 Hansen, Lars K. A1 Ebdrup, Bjørn H. PB Springer Science and Business Media LLC YR 2020 SN 2158-3188 JF Translational Psychiatry VO 10 IS 1 LK http://dx.doi.org/https://doi.org/10.1038/s41398-020-00962-8 DO https://doi.org/10.1038/s41398-020-00962-8 SF ELIB - SuUB Bremen
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