Accuracy of diagnostic classification algorithms using cognitive-, electrophysiological-, and neuroanatomical data in antipsychotic-naïve schizophrenia patients.

Background: A wealth of clinical studies have identified objective biomarkers, which separate schizophrenia patients from healthy controls on a group level, but current diagnostic systems solely include clinical symptoms. In this study, we investigate if machine learning algorithms on multimodal dat...

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Bibliographic Details

Published in:	Psychological Medicine Vol. 49; no. 16; pp. 2754 - 2764
Main Authors:	Ebdrup, Bjørn H., Axelsen, Martin C., Bak, Nikolaj, Fagerlund, Birgitte, Oranje, Bob, Raghava, Jayachandra M., Nielsen, Mette Ø., Rostrup, Egill, Hansen, Lars K., Glenthøj, Birte Y.
Format:	research tables/charts Journal Article
Published:	Cambridge University Press Dec2019
Online Access:	View this record in EBSCOhost