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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
Authors
Karen S. Ambrosen
Lars Arvastson
+17 more
Martin C. Axelsen
Nikolaj Bak
Søren R. Christensen
Bjørn H. Ebdrup
Birgitte Fagerlund
Jonathan Foldager
Birte Y. Glenthøj
Lars K. Hansen
Louise B. Johansen
Bruce J. Kinon
Mette Nielsen
Bob Oranje
Merete Osler
Christos Pantelis
Jayachandra M. Raghava
Egill Rostrup
Martin W. Skjerbæk
Publication date
1 January 2020
Publisher
'Springer Science and Business Media LLC'
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Abstract
Abstract is not available.
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Copenhagen University Research Information System
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Last time updated on 10/09/2020
Online Research Database In Technology
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oai:pure.atira.dk:publications...
Last time updated on 15/12/2020