Papers: 10.1038/s41398-020-00962-8

https://doi.org/10.1038/s41398-020-00962-8

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

Cited by: 23
Author(s): Karen S Ambrosen, Martin W Skjerbæk, Jonathan Foldager, Martin Christian Axelsen, Nikolaj Bak, Lars Arvastson, Søren Rahn Christensen, Louise Baruël Johansen, Jayachandra Mitta Raghava, Bob Oranje, Egill Rostrup, Mette Ødegaard Nielsen, Merete Osler, Birgitte Fagerlund, Christos Pantelis, Bruce J. Kinon, Birte Glenthøj, Lars Kai Hansen, Bjørn H Ebdrup
Published: about 5 years ago

Software Mentions 2