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1 Ergebnisse
1
Clinical predictors of antipsychotic treatment resistance: ..:
Smart, Sophie E
;
Agbedjro, Deborah
;
Pardiñas, Antonio F
...
https://nottingham-repository.worktribe.com/output/13166077. , 2022
Link:
https://doi.org/10.1016/j.schres.2022.09.009
RT Journal T1
Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium
UL https://suche.suub.uni-bremen.de/peid=base-ftunnottinghamrr:oai:nottingham-repository.worktribe.com:13166077&Exemplar=1&LAN=DE A1 Smart, Sophie E A1 Agbedjro, Deborah A1 Pardiñas, Antonio F A1 Ajnakina, Olesya A1 Alameda, Luis A1 Andreassen, Ole A A1 Barnes, Thomas R.E A1 Berardi, Domenico A1 Camporesi, Sara A1 Cleusix, Martine A1 Conus, Philippe A1 Crespo-Facorro, Benedicto A1 D'Andrea, Giuseppe A1 Demjaha, Arsime A1 Di Forti, Marta A1 Do, Kim A1 Doody, Gillian A1 Eap, Chin B A1 Ferchiou, Aziz A1 Guidi, Lorenzo A1 Homman, Lina A1 Jenni, Raoul A1 Joyce, Eileen A1 Kassoumeri, Laura A1 Lastrina, Ornella A1 Melle, Ingrid A1 Morgan, Craig A1 O'Neill, Francis A A1 Pignon, Baptiste A1 Restellini, Romeo A1 Richard, Jean-Romain A1 Simonsen, Carmen A1 Španiel, Filip A1 Szöke, Andrei A1 Tarricone, Ilaria A1 Tortelli, Andrea A1 Üçok, Alp A1 Vázquez-Bourgon, Javier A1 Murray, Robin M A1 Walters, James T.R A1 Stahl, Daniel A1 MacCabe, James H YR 2022 K1 Prospective longitudinal cohort K1 Stratification K1 Treatment resistant schizophrenia K1 First episode psychosis K1 Prediction modelling K1 Machine learning JF https://nottingham-repository.worktribe.com/output/13166077 LK http://dx.doi.org/https://doi.org/10.1016/j.schres.2022.09.009 DO https://doi.org/10.1016/j.schres.2022.09.009 SF ELIB - SuUB Bremen
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