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

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Description scientific article published on 10 August 2020
Author/s

author: Karen Marie Sandø Ambrosen  Martin Christian Axelsen  Birte Yding Glenthøj  Bjørn H Ebdrup  Jonathan Foldager  Nikolaj Bak  Martin W Skjerbæk  Birgitte Fagerlund  Egill Rostrup  Merete Osler  Christos Pantelis  Lars Kai Hansen 

Publication date August 10, 2020
Language English
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