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1 Ergebnisse
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How well can post-traumatic stress disorder be predicted fr..:
Kessler, Ronald C
;
Rose, Sherri
;
Koenen, Karestan C
...
http://hdl.handle.net/11427/28242. , 2014
Link:
http://hdl.handle.net/11427/28242
RT Journal T1
How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? an exploratory study in the WHO World Mental Health Surveys
UL https://suche.suub.uni-bremen.de/peid=base-ftunivcapetownir:oai:open.uct.ac.za:11427_28242&Exemplar=1&LAN=DE A1 Kessler, Ronald C A1 Rose, Sherri A1 Koenen, Karestan C A1 Karam, Elie G A1 Stang, Paul E A1 Stein, Dan J A1 Heeringa, Steven G A1 Hill, Eric D A1 Liberzon, Israel A1 McLaughlin, Katie A A1 McLean, Samuel A A1 Pennell, Beth E A1 Petukhova, Maria A1 Rosellini, Anthony J A1 Ruscio, Ayelet M A1 Shahly, Victoria A1 Shalev, Arieh Y A1 Silove, Derrick A1 Zaslavsky, Alan M A1 Angermeyer, Matthias C A1 Bromet, Evelyn J A1 de Almeida, José Miguel Caldas A1 de Girolamo, Giovanni A1 de Jonge, Peter A1 Demyttenaere, Koen A1 Florescu, Silvia E A1 Gureje, Oye A1 Haro, Josep Maria A1 Hinkov, Hristo A1 Kawakami, Norito A1 Kovess-Masfety, Viviane A1 Lee, Sing A1 Medina-Mora, Maria Elena A1 Murphy, Samuel D A1 Navarro-Mateu, Fernando A1 Piazza, Marina A1 Posada-Villa, Jose A1 Scott, Kate A1 Torres, Yolanda A1 Viana, Maria Carmen PB Department of Psychiatry and Mental Health; Faculty of Health Sciences; University of Cape Town YR 2014 K1 Post-traumatic stress disorder K1 predictive modeling K1 machine learning K1 penalized regression K1 random forests K1 ridge regression JF http://hdl.handle.net/11427/28242 LK http://hdl.handle.net/11427/28242 DO http://hdl.handle.net/11427/28242 SF ELIB - SuUB Bremen
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