Detailed clinical phenotyping and generalisability in prognostic models of functioning in at-risk populations

Personalised prediction of functional outcomes is a promising approach for targeted early intervention in psychiatry. However, generalisability and resource efficiency of such prognostic models represent challenges. In the PRONIA study (German Clinical Trials Register: DRKS00005042), we demonstrate...

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Veröffentlicht in:	British journal of psychiatry 2022-06, Vol.220 (6), p.318-321
Hauptverfasser:	Rosen, Marlene, Betz, Linda T., Kaiser, Natalie, Penzel, Nora, Dwyer, Dominic, Lichtenstein, Theresa K., Schultze-Lutter, Frauke, Kambeitz-Ilankovic, Lana, Bertolino, Alessandro, Borgwardt, Stefan, Brambilla, Paolo, Lencer, Rebekka, Meisenzahl, Eva, Pantelis, Christos, Salokangas, Raimo K. R., Upthegrove, Rachel, Wood, Stephen, Ruhrmann, Stephan, Koutsouleris, Nikolaos, Kambeitz, Joseph
Format:	Artikel
Sprache:	eng
Schlagworte:	At risk populations Clinical medicine Clinical research Clinical trials Early intervention Functional impairment Health care High risk Independent sample Machine learning Medical imaging Medical prognosis Mental depression Mental disorders Neuroimaging Phenotyping Prediction models Psychiatry Psychosis Short report
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